Triple

T18398065
Position Surface form Disambiguated ID Type / Status
Subject Hekou District, Dongying E449918 entity
Predicate hasRoleIn P161 FINISHED
Object Shengli oilfield NE NERFINISHED

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: Shengli oilfield | Statement: [Hekou District, Dongying, hasRoleIn, Shengli oilfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shengli oilfield
Context triple: [Hekou District, Dongying, hasRoleIn, Shengli oilfield]
  • A. Shengli Oilfield chosen
    Shengli Oilfield is one of China’s largest and most productive oil fields, located in Shandong Province and operated primarily by Sinopec.
  • B. Daqing Oilfield
    Daqing Oilfield is one of China’s largest and most productive oilfields, located in northeastern Heilongjiang Province and historically crucial to the country’s petroleum industry.
  • C. PetroChina
    PetroChina is one of China’s largest state-owned oil and gas companies, engaged in exploration, production, refining, and marketing of petroleum and petrochemical products.
  • D. Baiji oil refinery
    Baiji oil refinery is a major Iraqi oil processing complex and one of the country’s largest and most strategically important energy facilities.
  • E. Karamay Oilfield
    Karamay Oilfield is a major petroleum field in Xinjiang, China, known as one of the country’s earliest and most productive onshore oilfields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5184879548190b7f428e2d4c2caa4 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.