Triple

T15408137
Position Surface form Disambiguated ID Type / Status
Subject French Petroleum Institute E368516 entity
Predicate shortName P43 FINISHED
Object IFPEN E1080309 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: IFPEN | Statement: [French Petroleum Institute, shortName, IFPEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IFPEN
Context triple: [French Petroleum Institute, shortName, IFPEN]
  • A. IFP
    IFP is a South African political party founded by Mangosuthu Buthelezi, historically influential in KwaZulu-Natal and known for its Zulu nationalist roots.
  • B. IFN
    IFN is the IATA airport code for Isfahan International Airport, a major airport serving the city of Isfahan in central Iran.
  • C. IFP Energies nouvelles chosen
    IFP Energies nouvelles is a French public-sector research and training organization specializing in energy, transport, and environmental technologies.
  • D. French Petroleum Institute
    The French Petroleum Institute is a French public research and training organization specializing in energy, particularly oil, gas, and petrochemical technologies.
  • E. FIPC
    FIPC is a key policymaking body within the Bank of Thailand responsible for formulating and overseeing policies related to financial institutions and the stability of the financial system.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea36c6881909eaea48e9608897a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135bcb5c8190a1f43c6bb6a0e53c completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.