Triple

T19970994
Position Surface form Disambiguated ID Type / Status
Subject Belgium at the Olympic Games E480072 entity
Predicate NOCCode P39350 FINISHED
Object BEL NE NERFINISHED

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: BEL | Statement: [Belgium at the Olympic Games, NOCCode, BEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BEL
Context triple: [Belgium at the Olympic Games, NOCCode, BEL]
  • A. BEL
    BEL is the ICAO airline designator used to identify Brussels Airlines in international aviation operations.
  • B. BEL
    BEL is the IATA airport code for the main airport serving Belém in the state of Pará, Brazil.
  • C. BEL
    BEL is the standard abbreviation used to represent the Belleville Bulls, a former junior ice hockey team in the Ontario Hockey League.
  • D. BEL chosen
    BEL is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Belgium in international standards and data systems.
  • E. BEL
    BEL is the commonly used abbreviation for Bharat Electronics Limited, an Indian state-owned aerospace and defense electronics company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc9694881909a31841702ab9e5f completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.