Triple

T12007099
Position Surface form Disambiguated ID Type / Status
Subject CP Regional E285807 entity
Predicate distinguishedFrom P1612 FINISHED
Object CP Intercidades E333984 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 Intercidades | Statement: [CP Regional, distinguishedFrom, CP Intercidades]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CP Intercidades
Context triple: [CP Regional, distinguishedFrom, CP Intercidades]
  • A. Intercidades
    Intercidades is Portugal’s main long-distance intercity train service operated by the national railway company, connecting major cities across the country.
  • B. Intercidades (Intercity) services chosen
    Intercidades (Intercity) services are long-distance Portuguese train services operated by Comboios de Portugal that connect major cities across the country with faster, limited-stop routes.
  • C. Red de Transporte de Pasajeros
    Red de Transporte de Pasajeros is a Mexico City government-operated bus system that provides extensive urban passenger transport services across the metropolitan area.
  • D. SuperVia
    SuperVia is the main commuter rail operator serving the metropolitan region of Rio de Janeiro, Brazil.
  • E. Ferrocarril Suburbano
    Ferrocarril Suburbano is a commuter rail system serving the Mexico City metropolitan area, connecting the city center with several northern suburbs.
  • 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.