Triple

T12007100
Position Surface form Disambiguated ID Type / Status
Subject CP Regional E285807 entity
Predicate distinguishedFrom P1612 FINISHED
Object CP Alfa Pendular E285808 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 Alfa Pendular | Statement: [CP Regional, distinguishedFrom, CP Alfa Pendular]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CP Alfa Pendular
Context triple: [CP Regional, distinguishedFrom, CP Alfa Pendular]
  • A. CP Alfa Pendular chosen
    CP Alfa Pendular is Portugal’s high-speed tilting train service operated by Comboios de Portugal, connecting major cities such as Lisbon, Porto, and Faro.
  • B. XPT train
    The XPT train is a long-distance, high-speed diesel passenger train used in New South Wales, Australia, based on the British InterCity 125 design.
  • C. Comeng EMU
    The Comeng EMU is a long-serving class of electric multiple unit trains used on Melbourne's suburban rail network.
  • D. Civia EMU
    Civia EMU is a class of electric multiple unit commuter trains used by Spain’s Renfe for suburban and regional passenger services.
  • E. Tren Ligero
    Tren Ligero is a light rail transit system in Mexico City that complements the metro and bus networks by serving southern areas of the city.
  • 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_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.
Created at: April 8, 2026, 9:46 p.m.