Triple
T13149629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vologda |
E312428
|
entity |
| Predicate | isAdministrativeCenterOf |
P1474
|
FINISHED |
| Object |
Vologodsky District (de facto, while not part of it)
Vologodsky District (de facto, while not part of it) is a municipal district in Vologda Oblast, Russia, whose administrative functions are centered in the city of Vologda even though the city itself is administratively separate from the district.
|
E1023880
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vologodsky District (de facto, while not part of it) | Statement: [Vologda, isAdministrativeCenterOf, Vologodsky District (de facto, while not part of it)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vologodsky District (de facto, while not part of it) Context triple: [Vologda, isAdministrativeCenterOf, Vologodsky District (de facto, while not part of it)]
-
A.
Azovsky District (de facto, though not part of it)
Azovsky District (de facto, though not part of it) is an administrative district in Russia’s Rostov Oblast that is functionally centered on the city of Azov, despite the city being administratively separate from the district itself.
-
B.
Cherepovetsky District (de facto, while not part of it)
Cherepovetsky District (de facto, while not part of it) is an administrative district in Vologda Oblast, Russia, whose functions are effectively centered in the nearby city of Cherepovets despite the city being administratively separate.
-
C.
Chitinsky District (de facto)
Chitinsky District (de facto) is an administrative district in Zabaykalsky Krai, Russia, for which the city of Chita serves as the administrative center.
-
D.
Rybinsky District (de facto, though not part of it)
Rybinsky District (de facto, though not part of it) is an administrative district in Yaroslavl Oblast, Russia, whose functions are effectively centered in the nearby city of Rybinsk despite the city not being formally included within the district’s territory.
-
E.
Priuralsky District (de facto)
Priuralsky District (de facto) is an administrative district in the Yamalo-Nenets Autonomous Okrug of Russia, for which the Arctic city of Salekhard serves as the practical administrative center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vologodsky District (de facto, while not part of it) Triple: [Vologda, isAdministrativeCenterOf, Vologodsky District (de facto, while not part of it)]
Generated description
Vologodsky District (de facto, while not part of it) is a municipal district in Vologda Oblast, Russia, whose administrative functions are centered in the city of Vologda even though the city itself is administratively separate from the district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vologodsky District (de facto, while not part of it) Target entity description: Vologodsky District (de facto, while not part of it) is a municipal district in Vologda Oblast, Russia, whose administrative functions are centered in the city of Vologda even though the city itself is administratively separate from the district.
-
A.
Azovsky District (de facto, though not part of it)
Azovsky District (de facto, though not part of it) is an administrative district in Russia’s Rostov Oblast that is functionally centered on the city of Azov, despite the city being administratively separate from the district itself.
-
B.
Cherepovetsky District (de facto, while not part of it)
Cherepovetsky District (de facto, while not part of it) is an administrative district in Vologda Oblast, Russia, whose functions are effectively centered in the nearby city of Cherepovets despite the city being administratively separate.
-
C.
Chitinsky District (de facto)
Chitinsky District (de facto) is an administrative district in Zabaykalsky Krai, Russia, for which the city of Chita serves as the administrative center.
-
D.
Rybinsky District (de facto, though not part of it)
Rybinsky District (de facto, though not part of it) is an administrative district in Yaroslavl Oblast, Russia, whose functions are effectively centered in the nearby city of Rybinsk despite the city not being formally included within the district’s territory.
-
E.
Priuralsky District (de facto)
Priuralsky District (de facto) is an administrative district in the Yamalo-Nenets Autonomous Okrug of Russia, for which the Arctic city of Salekhard serves as the practical administrative center.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd1fc408190b4b5ca973bcee403 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaea3f888190b47ed7bf1c52e7e7 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6eedfd06c8190b6fe8055e54ca322 |
completed | May 3, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef7479a881909abf6caa21bdcc86 |
completed | May 3, 2026, 6:47 a.m. |
Created at: April 9, 2026, 9:11 p.m.