Triple

T11181879
Position Surface form Disambiguated ID Type / Status
Subject CGEP (historical) E264559 entity
Predicate tickerFor P9230 FINISHED
Object Alcatel S.A. E52311 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: Alcatel S.A. | Statement: [CGEP (historical), tickerFor, Alcatel S.A.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alcatel S.A.
Context triple: [CGEP (historical), tickerFor, Alcatel S.A.]
  • A. Alcatel chosen
    Alcatel is a multinational telecommunications equipment and networking company known for providing infrastructure, mobile, and broadband solutions worldwide.
  • B. France Télécom
    France Télécom was the former state-owned French telecommunications company that evolved into Orange S.A., a major global telecom operator.
  • C. Ericsson
    Ericsson is a Swedish multinational telecommunications company known for providing mobile network infrastructure, services, and software to operators worldwide.
  • D. Alcatel Alsthom
    Alcatel Alsthom was a major French industrial conglomerate active in telecommunications, power generation, and transport infrastructure before being restructured and rebranded as Alcatel.
  • E. 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.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a7f35481909f35feb94ef10e80 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58ac418f08190b2936e8dbf9fb27d completed April 20, 2026, 2:09 a.m.
Created at: April 8, 2026, 9:29 p.m.