Triple

T18986154
Position Surface form Disambiguated ID Type / Status
Subject Oriente station E464563 entity
Predicate operator P179 FINISHED
Object Rede Expressos NE NERFINISHED

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: Rede Expressos | Statement: [Oriente station, operator, Rede Expressos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rede Expressos
Context triple: [Oriente station, operator, Rede Expressos]
  • A. Rede Expressos chosen
    Rede Expressos is a major Portuguese long-distance coach company that operates an extensive intercity and regional bus network across Portugal.
  • B. SuperVia
    SuperVia is the main commuter rail operator serving the metropolitan region of Rio de Janeiro, Brazil.
  • C. National Express Coaches
    National Express Coaches is a major long-distance coach operator in the United Kingdom, providing intercity and airport bus services across an extensive national network.
  • D. Govia
    Govia is a major British train operating company formed as a joint venture between the Go-Ahead Group and Keolis, running several rail franchises in the United Kingdom.
  • E. National Express
    National Express is a major UK-based coach and bus operator providing long-distance and local passenger transport services domestically and internationally.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65f7f08819088f56e8e030851b1 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.