Triple

T1999960
Position Surface form Disambiguated ID Type / Status
Subject Reading railway station E43445 entity
Predicate servedBy P82 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: [Reading railway station, servedBy, CrossCountry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CrossCountry
Context triple: [Reading railway station, servedBy, 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb87f78f0819098e787a5f3e062fd completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae034122ec819096a72685b34c84b9 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.