Triple

T9302214
Position Surface form Disambiguated ID Type / Status
Subject RDG E223792 entity
Predicate usedBy P260 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: [RDG, usedBy, CrossCountry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CrossCountry
Context triple: [RDG, usedBy, 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. CrossCountry Route
    CrossCountry Route is a major long-distance rail corridor in the United Kingdom that links cities across central and southern England with the Midlands and Scotland without passing through London.
  • D. Cross-Country Snow
    Cross-Country Snow is a short story by Ernest Hemingway that follows two friends skiing in the Swiss Alps while confronting unspoken tensions and impending responsibilities.
  • E. Rally
    Rally is an OpenStack benchmarking and performance testing tool designed to validate and profile cloud deployments at scale.
  • 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_69ca8424d0f08190831e2e93c6533aeb completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d34c4c819095a213360747c3a6 completed April 1, 2026, noon
NED1 Entity disambiguation (via context triple) batch_69d0b26ae3c881909e88f0253e73f0ea completed April 4, 2026, 6:40 a.m.
Created at: March 30, 2026, 7:36 p.m.