Triple

T13035913
Position Surface form Disambiguated ID Type / Status
Subject Iliad SA E326559 entity
Predicate competitor P1375 FINISHED
Object Orange S.A. E361793 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: Orange S.A. | Statement: [Iliad SA, competitor, Orange S.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange S.A.
Context triple: [Iliad SA, competitor, Orange S.A.]
  • A. Orange S.A. chosen
    Orange S.A. is a major French multinational telecommunications corporation providing mobile, internet, and other digital services across Europe, Africa, and the Middle East.
  • B. Total S.A.
    Total S.A. was the former name of TotalEnergies, a major French multinational energy company involved in oil, gas, and increasingly renewable energy.
  • C. OL Groupe
    OL Groupe is a French sports holding company best known for owning and managing the Olympique Lyonnais football club and related sports assets.
  • D. Ricard SA
    Ricard SA is a French pastis and spirits producer that became the foundation of the global wine and spirits group Pernod Ricard.
  • E. Gaviota S.A.
    Gaviota S.A. is a major Cuban tourism and hotel management company closely tied to the country’s military-controlled business conglomerate.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbcf11f88190ab1746f973132af1 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.