Triple

T2483489
Position Surface form Disambiguated ID Type / Status
Subject Manchester rail network E55871 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: [Manchester rail network, operator, CrossCountry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CrossCountry
Context triple: [Manchester rail network, 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. Roadside
    "Roadside" is a 1929 stage comedy by American playwright Lynn Riggs that humorously portrays life and romance in the rural American Southwest.
  • C. Interstate
    The Interstate is the United States’ nationwide system of high-speed, limited-access highways that connects major cities and regions for efficient long-distance travel and commerce.
  • D. American Trail
    American Trail is a themed exhibit at the Smithsonian’s National Zoo that showcases wildlife native to North America and their habitats.
  • E. Speedway
    Speedway is a small town in Marion County, Indiana, best known as the home of the Indianapolis Motor Speedway and the Indianapolis 500 auto race.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1644b5881908d2931a1dfbbd03b completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b7b4f08190b23af81c696bba4e completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.