Triple

T18922922
Position Surface form Disambiguated ID Type / Status
Subject SJ E462906 entity
Predicate hasBrand P1500 FINISHED
Object SJ InterCity 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: SJ InterCity | Statement: [SJ, hasBrand, SJ InterCity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SJ InterCity
Context triple: [SJ, hasBrand, SJ InterCity]
  • A. InterCity chosen
    InterCity is a category of long-distance passenger trains in several European countries, notably providing fast, regular intercity rail services.
  • B. WeGo Star commuter rail
    The WeGo Star commuter rail is a regional passenger train service connecting Nashville with its eastern suburbs in Middle Tennessee.
  • C. Bayside Trains
    Bayside Trains was a former suburban rail operator in Melbourne, Australia, responsible for running metropolitan train services before the network was restructured and rebranded.
  • D. Ferrocarril Suburbano
    Ferrocarril Suburbano is a commuter rail system serving the Mexico City metropolitan area, connecting the city center with several northern suburbs.
  • E. InterCity CrossCountry
    InterCity CrossCountry was a former British Rail sector that operated long-distance cross-country passenger train services across the United Kingdom before privatisation.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b4822c8190a0aeceb4499e775e completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.