Triple
T14976799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urengoy gas field |
E373468
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Urengoy settlement
Urengoy settlement is a locality in Russia best known for giving its name to the massive Urengoy natural gas field in Western Siberia.
|
E1130193
|
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: Urengoy settlement | Statement: [Urengoy gas field, namedAfter, Urengoy settlement]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urengoy settlement Context triple: [Urengoy gas field, namedAfter, Urengoy settlement]
-
A.
Novy Urengoy
Novy Urengoy is a major gas-producing city in Russia’s Yamalo-Nenets Autonomous Okrug, often called the “gas capital” of the country.
-
B.
Kapustin Yar
Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
-
C.
Akmolinsk
Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
-
D.
Sayanogorsk
Sayanogorsk is a town in the Republic of Khakassia, Russia, known as an industrial center in southern Siberia and a hub for aluminum production.
-
E.
Boksitogorsk
Boksitogorsk is a small industrial town in northwestern Russia known for its bauxite mining and alumina production.
- 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: Urengoy settlement Triple: [Urengoy gas field, namedAfter, Urengoy settlement]
Generated description
Urengoy settlement is a locality in Russia best known for giving its name to the massive Urengoy natural gas field in Western Siberia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Urengoy settlement Target entity description: Urengoy settlement is a locality in Russia best known for giving its name to the massive Urengoy natural gas field in Western Siberia.
-
A.
Novy Urengoy
Novy Urengoy is a major gas-producing city in Russia’s Yamalo-Nenets Autonomous Okrug, often called the “gas capital” of the country.
-
B.
Kapustin Yar
Kapustin Yar is a Russian military rocket launch and development site historically used for early Soviet missile and space tests.
-
C.
Akmolinsk
Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
-
D.
Sayanogorsk
Sayanogorsk is a town in the Republic of Khakassia, Russia, known as an industrial center in southern Siberia and a hub for aluminum production.
-
E.
Boksitogorsk
Boksitogorsk is a small industrial town in northwestern Russia known for its bauxite mining and alumina production.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fbd138819092254ea37388026c |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8beca6d88190a0c1adb18c9f2ac4 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8f94018881908d8185d692f9728a |
completed | May 9, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8fff27e881908163a1339019e192 |
completed | May 9, 2026, 1:38 a.m. |
Created at: April 10, 2026, 2:51 a.m.