Triple

T13651625
Position Surface form Disambiguated ID Type / Status
Subject SFR E326752 entity
Predicate regulatoryAuthority P4784 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: [SFR, regulatoryAuthority, ARCEP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARCEP
Context triple: [SFR, regulatoryAuthority, 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc609676c8190b5b1cabe6b315142 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78affa3c481909dba71e2ce9f44c1 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:52 p.m.