Triple
T15216008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kola Bay |
E363637
|
entity |
| Predicate | hasSettlementOnShore |
P16159
|
FINISHED |
| Object |
Roslyakovo
Roslyakovo is a rural settlement in Murmansk Oblast, Russia, historically associated with ship repair and naval facilities on the Barents Sea coast.
|
E1144728
|
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: Roslyakovo | Statement: [Kola Bay, hasSettlementOnShore, Roslyakovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roslyakovo Context triple: [Kola Bay, hasSettlementOnShore, Roslyakovo]
-
A.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
-
B.
Zayukovo
Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
-
C.
Polyanovka
Polyanovka is a historical locality known as the site where the Treaty of Polyanovka was signed between the Polish–Lithuanian Commonwealth and Tsardom of Russia.
-
D.
Ruzaevka
Ruzaevka is a town in the Republic of Mordovia, Russia, known as a local railway and industrial center.
-
E.
Rublyovka
Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
- 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: Roslyakovo Triple: [Kola Bay, hasSettlementOnShore, Roslyakovo]
Generated description
Roslyakovo is a rural settlement in Murmansk Oblast, Russia, historically associated with ship repair and naval facilities on the Barents Sea coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roslyakovo Target entity description: Roslyakovo is a rural settlement in Murmansk Oblast, Russia, historically associated with ship repair and naval facilities on the Barents Sea coast.
-
A.
Mikhaylovka
Mikhaylovka is a city in southwestern Russia known as one of the key urban centers of Volgograd Oblast.
-
B.
Zayukovo
Zayukovo is a rural locality in the Kabardino-Balkar Republic of Russia situated along the Baksan River in the North Caucasus region.
-
C.
Polyanovka
Polyanovka is a historical locality known as the site where the Treaty of Polyanovka was signed between the Polish–Lithuanian Commonwealth and Tsardom of Russia.
-
D.
Ruzaevka
Ruzaevka is a town in the Republic of Mordovia, Russia, known as a local railway and industrial center.
-
E.
Rublyovka
Rublyovka is an affluent suburban area west of Moscow, known for its luxury residences, elite communities, and concentration of Russia’s political and business elite.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3159fc81908c05cfbd0bd7e5ac |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedea1fea88190b891485794acfa8d |
completed | May 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedf2b52348190bd8fc6999cb0abd7 |
completed | May 9, 2026, 7:15 a.m. |
Created at: April 10, 2026, 3:11 a.m.