Triple

T22818866
Position Surface form Disambiguated ID Type / Status
Subject CP Air E565174 entity
Predicate IATAcode P418 FINISHED
Object CP 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: CP | Statement: [CP Air, IATAcode, CP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CP
Context triple: [CP Air, IATAcode, CP]
  • A. CP
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • B. CP chosen
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • C. CP
    CP is the International Baccalaureate Career-related Programme, a two-year educational framework that combines academic study with career-focused learning for students aged 16–19.
  • D. CP
    CP is an abbreviation commonly used to refer to a cooperative program, typically denoting a collaborative initiative or partnership between organizations or institutions.
  • E. CP
    CP is the abbreviated name for the Committee of the Parties to the Council of Europe Convention on Action against Trafficking in Human Beings, the body overseeing implementation of this anti-trafficking treaty by its member states.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dce762c8190934fb921f942c9fd completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.