Triple

T12173674
Position Surface form Disambiguated ID Type / Status
Subject The Canadian Press E290035 entity
Predicate hasAbbreviation P43 FINISHED
Object CP E134564 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: CP | Statement: [The Canadian Press, hasAbbreviation, CP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CP
Context triple: [The Canadian Press, hasAbbreviation, 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 (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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915dab42881908e2580c631d4d1cf completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a6de3081908e5e0030c081d5a4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.