Triple

T9082592
Position Surface form Disambiguated ID Type / Status
Subject Nadym E217669 entity
Predicate nearbyGasFields P87102 FINISHED
Object Yamburg gas field E376235 NE FINISHED

How this triple was built (2 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: Yamburg gas field | Statement: [Nadym, nearbyGasFields, Yamburg gas field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamburg gas field
Context triple: [Nadym, nearbyGasFields, Yamburg gas field]
  • A. Yamburg gas field chosen
    Yamburg gas field is one of the world’s largest natural gas fields, located in northern Russia and serving as a major source of gas production for the country.
  • B. Zapolyarnoye gas field
    Zapolyarnoye gas field is one of Russia’s largest natural gas fields, located in the Arctic region of western Siberia and operated primarily by Gazprom.
  • C. Urengoy gas field
    The Urengoy gas field is one of the world’s largest natural gas fields, located in northern Russia and serving as a major source of gas for both domestic use and export.
  • D. Bovanenkovo gas field
    Bovanenkovo gas field is a major natural gas deposit on the Yamal Peninsula in northern Russia and one of the country’s largest sources of natural gas production.
  • E. Lacq gas field
    The Lacq gas field is a major natural gas deposit in southwestern France that played a key role in the country’s postwar energy development and petrochemical industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960a2760819084aab611eb1c43a9 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02ffa9fb88190ab088be46b566ae8 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:13 p.m.