Triple

T10745890
Position Surface form Disambiguated ID Type / Status
Subject Lacq gas field E253447 entity
Predicate formerOperator P179 FINISHED
Object Elf Aquitaine E561774 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: Elf Aquitaine | Statement: [Lacq gas field, formerOperator, Elf Aquitaine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elf Aquitaine
Context triple: [Lacq gas field, formerOperator, Elf Aquitaine]
  • A. Elf Aquitaine chosen
    Elf Aquitaine was a major French state-owned oil and gas company that became one of Europe’s leading energy firms before merging into TotalFinaElf (now TotalEnergies).
  • B. Cesqeaux
    Cesqeaux is a Dutch DJ and electronic music producer known for his energetic trap and bass-heavy festival tracks.
  • C. Chevaleret
    Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
  • D. Cloux
    Cloux is the former name of Clos Lucé, the historic château in Amboise, France, best known as Leonardo da Vinci’s final residence.
  • E. Forcalquier
    Forcalquier is a historic Provençal town in southeastern France known for its medieval architecture, hilltop citadel, and traditional markets.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d711b77c4881909d16c6e82a9b86ca completed April 9, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69de230b461c81909a98085079676b95 completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:15 p.m.