Triple

T10745891
Position Surface form Disambiguated ID Type / Status
Subject Lacq gas field E253447 entity
Predicate formerOperator P179 FINISHED
Object SNPA E883895 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: SNPA | Statement: [Lacq gas field, formerOperator, SNPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNPA
Context triple: [Lacq gas field, formerOperator, SNPA]
  • A. SNPA chosen
    SNPA (Société Nationale des Pétroles d’Aquitaine) was a French state-owned oil and gas company best known for its role in exploring and developing major hydrocarbon fields in southwestern France.
  • B. SNASPE
    SNASPE is Chile’s national network of protected wild areas, encompassing national parks, reserves, and natural monuments managed to conserve the country’s biodiversity and ecosystems.
  • C. SPN
    SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
  • D. SPN
    SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
  • E. SPN
    SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
  • 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_69de558f26e88190a9cb8f4d0539e5a5 completed April 14, 2026, 2:56 p.m.
Created at: April 8, 2026, 9:15 p.m.