Triple

T6143415
Position Surface form Disambiguated ID Type / Status
Subject Orange S.A. E137016 entity
Predicate foundedAs P364 FINISHED
Object France Télécom E571729 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: France Télécom | Statement: [Orange S.A., foundedAs, France Télécom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: France Télécom
Context triple: [Orange S.A., foundedAs, France Télécom]
  • A. France Télécom chosen
    France Télécom was the former state-owned French telecommunications company that evolved into Orange S.A., a major global telecom operator.
  • B. Bouygues
    Bouygues is a major French industrial group primarily active in construction, real estate development, media, and telecommunications.
  • C. Free (French telecommunications company)
    Free is a major French telecommunications operator known for its low-cost, disruptive internet and mobile offers that helped transform France’s telecom market.
  • D. Deutsche Telekom
    Deutsche Telekom is a major German telecommunications company and one of the largest telecom providers in Europe, offering mobile, fixed-line, and internet services worldwide.
  • E. Alcatel
    Alcatel is a multinational telecommunications equipment and networking company known for providing infrastructure, mobile, and broadband solutions worldwide.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb50cb0819081ac64becf7aaf55 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141777d808190ad36b574356ca715 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:16 p.m.