Triple

T15408139
Position Surface form Disambiguated ID Type / Status
Subject French Petroleum Institute E368516 entity
Predicate abbreviation P43 FINISHED
Object IFP
IFP is a French public-sector research and training organization specializing in energy, transport, and environmental technologies, historically focused on the oil and gas industry.
E1154313 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: IFP | Statement: [French Petroleum Institute, abbreviation, IFP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IFP
Context triple: [French Petroleum Institute, abbreviation, IFP]
  • 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. AIFP
    AIFP is a U.S. government initiative created during the 2008–2009 financial crisis to provide emergency financial support to struggling automotive manufacturers and related companies.
  • D. IF
    IF is the former IATA airline designator code assigned to Interflug, the former national airline of East Germany.
  • E. Ifs
    Ifs is a suburban commune in the Calvados department of northwestern France, located just south of the city of Caen.
  • 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: IFP
Triple: [French Petroleum Institute, abbreviation, IFP]
Generated description
IFP is a French public-sector research and training organization specializing in energy, transport, and environmental technologies, historically focused on the oil and gas industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IFP
Target entity description: IFP is a French public-sector research and training organization specializing in energy, transport, and environmental technologies, historically focused on the oil and gas industry.
  • 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. AIFP
    AIFP is a U.S. government initiative created during the 2008–2009 financial crisis to provide emergency financial support to struggling automotive manufacturers and related companies.
  • D. IF
    IF is the former IATA airline designator code assigned to Interflug, the former national airline of East Germany.
  • E. Ifs
    Ifs is a suburban commune in the Calvados department of northwestern France, located just south of the city of Caen.
  • 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_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.
NEDg Description generation batch_69ff141babdc8190bac03e8a294984ce completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff14d3e78881909692d5594bc941d8 completed May 9, 2026, 11:04 a.m.
Created at: April 10, 2026, 3:20 a.m.