Triple

T15197284
Position Surface form Disambiguated ID Type / Status
Subject Chesterfield railway station E363168 entity
Predicate hasOperatorService P5884 FINISHED
Object CrossCountry E3874 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: CrossCountry | Statement: [Chesterfield railway station, hasOperatorService, CrossCountry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CrossCountry
Context triple: [Chesterfield railway station, hasOperatorService, CrossCountry]
  • A. CrossCountry chosen
    CrossCountry is a major British train operating company that runs long-distance intercity and regional passenger services across much of the United Kingdom.
  • B. Cross Country
    Cross Country is a crime thriller novel in James Patterson's Alex Cross series that follows the detective on a dangerous pursuit of a ruthless killer from Washington, D.C. to Africa.
  • C. Cross Country
    Cross Country is a 1983 American thriller film in which Nina Axelrod plays a leading role.
  • D. Cross Country
    Cross Country is a rugged, off-road-oriented trim level of the Volvo V60 wagon featuring increased ground clearance and protective body cladding.
  • E. High Country
    High Country is a premium trim level offered on certain Chevrolet trucks and SUVs, featuring upscale materials, advanced technology, and distinctive styling.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3342624819087be35acadd88136 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.