Triple

T13036281
Position Surface form Disambiguated ID Type / Status
Subject Free E326567 entity
Predicate regulator P46 FINISHED
Object ARCEP E1017927 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: ARCEP | Statement: [Free, regulator, ARCEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARCEP
Context triple: [Free, regulator, ARCEP]
  • A. ARCEP chosen
    ARCEP is France’s independent regulatory authority overseeing electronic communications, postal services, and press distribution markets.
  • B. French Energy Regulatory Commission
    The French Energy Regulatory Commission is France’s independent public authority responsible for overseeing and regulating the country’s electricity and gas markets.
  • C. Télécom Bretagne
    Télécom Bretagne was a leading French grande école and engineering school specializing in telecommunications and information technologies, later integrated into IMT Atlantique.
  • D. AGCOM
    AGCOM is Italy’s independent communications authority responsible for regulating the telecommunications, broadcasting, and media sectors.
  • E. Direction générale des télécommunications
    Direction générale des télécommunications was the former French state-run telecommunications administration that managed and developed the national telephone and communications network before its transformation into France Télécom (now Orange S.A.).
  • 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_69f6e269c18481908e0b46c298a946ca completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 8:55 p.m.