Triple

T13149373
Position Surface form Disambiguated ID Type / Status
Subject Exeter to Plymouth line E312423 entity
Predicate operator P179 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: [Exeter to Plymouth line, operator, CrossCountry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CrossCountry
Context triple: [Exeter to Plymouth line, operator, 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. High Country
    High Country is a premium trim level offered on certain Chevrolet trucks and SUVs, featuring upscale materials, advanced technology, and distinctive styling.
  • E. High Country
    High Country is a mountainous region in northeastern Victoria, Australia, known for its alpine landscapes, snowfields, and outdoor recreation.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd1fc408190b4b5ca973bcee403 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaea3f888190b47ed7bf1c52e7e7 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:11 p.m.