Triple

T14232204
Position Surface form Disambiguated ID Type / Status
Subject Eindhoven Airport E352777 entity
Predicate operator P179 FINISHED
Object Royal Schiphol Group E73356 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: Royal Schiphol Group | Statement: [Eindhoven Airport, operator, Royal Schiphol Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Schiphol Group
Context triple: [Eindhoven Airport, operator, Royal Schiphol Group]
  • A. Royal Schiphol Group chosen
    Royal Schiphol Group is a Dutch airport company that owns and operates Amsterdam Airport Schiphol and several other airports in the Netherlands.
  • B. Brussels Airport Company
    Brussels Airport Company is the organization responsible for managing and operating Brussels Airport, one of Belgium’s main international air transport hubs.
  • C. KLM
    KLM is the flag carrier airline of the Netherlands and one of the world's oldest airlines still operating under its original name.
  • D. Luchthavenbeheer N.V.
    Luchthavenbeheer N.V. is the state-owned company responsible for managing and operating major airports in Suriname, including Johan Adolf Pengel International Airport.
  • E. Brussels Airlines
    Brussels Airlines is the flag carrier airline of Belgium, operating flights across Europe, Africa, and other regions as part of the Lufthansa Group.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622cdd6481908befa179a9675bb5 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281bc67c81909bb09ee4a39a0b7f completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.