Triple

T22460421
Position Surface form Disambiguated ID Type / Status
Subject TotalEnergies SE E555213 entity
Predicate formerlyKnownAs P65 FINISHED
Object Total SA 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: Total SA | Statement: [TotalEnergies SE, formerlyKnownAs, Total SA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Total SA
Context triple: [TotalEnergies SE, formerlyKnownAs, Total SA]
  • A. Total S.A. chosen
    Total S.A. was the former name of TotalEnergies, a major French multinational energy company involved in oil, gas, and increasingly renewable energy.
  • B. Ricard SA
    Ricard SA is a French pastis and spirits producer that became the foundation of the global wine and spirits group Pernod Ricard.
  • C. Vale S.A.
    Vale S.A. is a major Brazilian multinational mining company and one of the world’s largest producers of iron ore and nickel.
  • D. SES S.A.
    SES S.A. is a leading global satellite operator based in Luxembourg that provides satellite communications services for broadcasters, governments, and network operators worldwide.
  • E. Sonatrach
    Sonatrach is Algeria’s state-owned national oil and gas company and one of the largest energy producers in Africa.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7eb5688190bd5e41d4d8189668 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.