Triple

T14601196
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2 complex E342707 entity
Predicate operator P179 FINISHED
Object Groupe ADP E11760 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: Groupe ADP | Statement: [Terminal 2 complex, operator, Groupe ADP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groupe ADP
Context triple: [Terminal 2 complex, operator, Groupe ADP]
  • A. Groupe ADP chosen
    Groupe ADP is a major French airport management company that owns and operates the Paris-area airports and provides aviation and related services worldwide.
  • B. Groupe GTM
    Groupe GTM was a major French construction and civil engineering company that later became part of the Vinci SA group.
  • C. Deloitte
    Deloitte is one of the world’s largest professional services firms, providing audit, consulting, tax, and advisory services to clients globally.
  • D. Amadeus IT Group
    Amadeus IT Group is a leading global travel technology company that provides reservation, distribution, and IT solutions for airlines, travel agencies, hotels, and other travel industry players.
  • E. Ernst & Young
    Ernst & Young is a global professional services firm, known as one of the "Big Four" accounting organizations, providing audit, tax, consulting, and advisory services to clients 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb438748081908020ce04b869866a completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94cc9fbc819090ae4efe9bc618aa completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:25 a.m.