Triple

T14685543
Position Surface form Disambiguated ID Type / Status
Subject XPT train E344898 entity
Predicate operator P179 FINISHED
Object CountryLink E344895 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: CountryLink | Statement: [XPT train, operator, CountryLink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CountryLink
Context triple: [XPT train, operator, CountryLink]
  • A. CountryLink chosen
    CountryLink was a New South Wales government-operated regional and interstate passenger rail and coach service in Australia that was later rebranded as NSW TrainLink.
  • B. Westbindung
    Westbindung was the postwar West German strategy of firmly integrating the country into Western political, economic, and military alliances, especially with the United States and Western Europe.
  • C. Fieldlink
    Fieldlink was an early digital payments and security startup co-founded by Max Levchin that later evolved into the company behind PayPal.
  • D. Leaf International
    Leaf International was a confectionery company known for producing candies and chewing gum before being acquired by Cloetta.
  • E. E.K. Cole Ltd
    E.K. Cole Ltd was a British electronics manufacturer best known for its innovative radio and domestic appliance designs in the early to mid-20th century.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56bdb8081909ff86440ba20fb1f completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde18592088190892ae1cc371165be completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.