Triple

T13891544
Position Surface form Disambiguated ID Type / Status
Subject Northern Line (Portugal) E333982 entity
Predicate usedByService P1294 FINISHED
Object Intercidades E302851 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: Intercidades | Statement: [Northern Line (Portugal), usedByService, Intercidades]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Intercidades
Context triple: [Northern Line (Portugal), usedByService, Intercidades]
  • A. Intercidades chosen
    Intercidades is Portugal’s main long-distance intercity train service operated by the national railway company, connecting major cities across the country.
  • B. Rio de Janeiro–Belo Horizonte corridor
    The Rio de Janeiro–Belo Horizonte corridor is a major Brazilian transport and economic axis linking the cities of Rio de Janeiro and Belo Horizonte through a network of highways and railways.
  • C. Entre-os-Rios
    Entre-os-Rios is a Portuguese riverside parish known for its scenic location at the confluence of the Tâmega and Douro rivers.
  • D. Interlagos
    Interlagos is a famous motor racing circuit in São Paulo, Brazil, best known for hosting the Formula One Brazilian Grand Prix.
  • E. SuperVia
    SuperVia is the main commuter rail operator serving the metropolitan region of Rio de Janeiro, Brazil.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71a43908190bc7537f0a2379599 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.