Triple
T15530632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanaysky District |
E370205
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object |
Troitskoye
Troitskoye is a rural locality in Russia that serves as the main administrative hub of Nanaysky District in Khabarovsk Krai.
|
E1162579
|
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: Troitskoye | Statement: [Nanaysky District, administrativeCenter, Troitskoye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troitskoye Context triple: [Nanaysky District, administrativeCenter, Troitskoye]
-
A.
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
-
B.
Astapovo
Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
-
C.
Romashkovo
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
-
D.
Ramenskoye
Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
-
E.
Pirogovo
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
- 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: Troitskoye Triple: [Nanaysky District, administrativeCenter, Troitskoye]
Generated description
Troitskoye is a rural locality in Russia that serves as the main administrative hub of Nanaysky District in Khabarovsk Krai.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Troitskoye Target entity description: Troitskoye is a rural locality in Russia that serves as the main administrative hub of Nanaysky District in Khabarovsk Krai.
-
A.
Troparevo
Troparevo is a Moscow Metro station serving the southwestern part of the city in the Troparevo-Nikulino District.
-
B.
Astapovo
Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
-
C.
Romashkovo
Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
-
D.
Ramenskoye
Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
-
E.
Pirogovo
Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational area.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5b989c8190a76612df167ba1dd |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3ea7d5ac81908bd1ee64de39dba7 |
completed | May 9, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff413a68488190a6c8907e36a602dc |
completed | May 9, 2026, 2:14 p.m. |
Created at: April 10, 2026, 4:06 a.m.