Triple

T12919624
Position Surface form Disambiguated ID Type / Status
Subject CP Class 2240 E309079 entity
Predicate operatorAbbreviation P43 FINISHED
Object CP E62901 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: [CP Class 2240, operatorAbbreviation, CP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CP
Context triple: [CP Class 2240, operatorAbbreviation, CP]
  • A. CP chosen
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • B. CP
    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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e6d9fc8190b8a5244b26b5f78a completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5ffcc48190bf93ce32e4aecfcd completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:41 p.m.