Triple
T9542891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kotelniki |
E230199
|
entity |
| Predicate | precededByStation |
P29771
|
FINISHED |
| Object |
Zhulebino
Zhulebino is a station on the Moscow Metro system, serving the residential Zhulebino district in the southeastern part of Moscow.
|
E807542
|
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: Zhulebino | Statement: [Kotelniki, precededByStation, Zhulebino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhulebino Context triple: [Kotelniki, precededByStation, Zhulebino]
-
A.
Makeyevka
Makeyevka is an industrial city in eastern Ukraine’s Donetsk Oblast, historically known for its coal mining and metallurgical industries.
-
B.
Pestovo
Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
-
C.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
D.
Zolotonosha
Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
-
E.
Luzhitsy
Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
- 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: Zhulebino Triple: [Kotelniki, precededByStation, Zhulebino]
Generated description
Zhulebino is a station on the Moscow Metro system, serving the residential Zhulebino district in the southeastern part of Moscow.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zhulebino Target entity description: Zhulebino is a station on the Moscow Metro system, serving the residential Zhulebino district in the southeastern part of Moscow.
-
A.
Makeyevka
Makeyevka is an industrial city in eastern Ukraine’s Donetsk Oblast, historically known for its coal mining and metallurgical industries.
-
B.
Pestovo
Pestovo is a small town in northwestern Russia, situated within Novgorod Oblast and known as a local administrative and industrial center.
-
C.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
D.
Zolotonosha
Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
-
E.
Luzhitsy
Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e9be048190bf1f01884ff7c362 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1527c0914819087ffa9d201afdd35 |
completed | April 4, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_69d153d59844819086a0f50e6a7624b2 |
completed | April 4, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1546a503c81908edc9588adabc172 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:01 p.m.