Triple

T12007210
Position Surface form Disambiguated ID Type / Status
Subject Série 4000 E285810 entity
Predicate operatorAbbreviation P43 FINISHED
Object CP
CP is the national railway operator of Portugal, responsible for most passenger train services across the country.
 E62901 NE FINISHED

How this triple was built (4 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: [Série 4000, operatorAbbreviation, CP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CP
Context triple: [Série 4000, operatorAbbreviation, CP]
  • A. CP
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CP
Triple: [Série 4000, operatorAbbreviation, CP]
Generated description
CP is the national railway operator of Portugal, responsible for most passenger train services across the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CP
Target entity description: CP is the national railway operator of Portugal, responsible for most passenger train services across the country.
  • A. CP chosen
    CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
  • B. CP
    CP is the stock ticker symbol for Canadian Pacific Railway, a major North American freight railway company.
  • C. CP
    CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
  • D. 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.
  • E. CP
    CP is an abbreviation commonly used to refer to a cooperative program, typically denoting a collaborative initiative or partnership between organizations or institutions.
  • F. None of above.

Provenance (5 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c5cfc08190821e4b2940c51416 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b1570208190a08c64e028f67d81 completed May 1, 2026, 11:14 a.m.
NEDg Description generation batch_69f48fc6da4c81908442f18cb4a65b27 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495cc50908190aab4f8ca64c66ef3 completed May 1, 2026, noon
Created at: April 8, 2026, 9:46 p.m.