Triple

T4201705
Position Surface form Disambiguated ID Type / Status
Subject Orly Sud E86080 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: [Orly Sud, operator, Groupe ADP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groupe ADP
Context triple: [Orly Sud, 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. 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.
  • C. Omnicom Group
    Omnicom Group is a global marketing and communications holding company that owns numerous leading advertising, media, and public relations agencies worldwide.
  • D. The Perot Group
    The Perot Group is a private investment and asset management firm founded by the Perot family that oversees and grows their diverse business interests.
  • E. SAS Group
    SAS Group is a Scandinavian airline holding company that operates Scandinavian Airlines and related aviation businesses across Northern Europe.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af037da30481908106b27a88d59140 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a14eda88190aaca14644c3e041a completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:49 p.m.