Triple

T20626249
Position Surface form Disambiguated ID Type / Status
Subject Translink E506824 entity
Predicate subsidiaryBrand P11471 FINISHED
Object NI Railways NE NERFINISHED

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: NI Railways | Statement: [Translink, subsidiaryBrand, NI Railways]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NI Railways
Context triple: [Translink, subsidiaryBrand, NI Railways]
  • A. NI Railways chosen
    NI Railways is the primary passenger rail operator in Northern Ireland, running the region’s railway network and services.
  • B. MK Rail
    MK Rail was an American locomotive manufacturer and remanufacturer known for rebuilding and upgrading diesel-electric locomotives for railroads.
  • C. Canadian National Railway
    Canadian National Railway is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
  • D. Union Railways
    Union Railways is a British rail infrastructure and development company known for its role in major UK rail projects and for employing civil engineer Sir John Armitt.
  • E. Via Rail
    Via Rail is Canada's national intercity passenger rail service, operating train routes that connect major cities and regions across the country.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe576c081909231dc0d7304b9a9 completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.