Triple

T3324692
Position Surface form Disambiguated ID Type / Status
Subject State Rail Authority E69883 entity
Predicate operatedServices P5884 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: [State Rail Authority, operatedServices, CountryLink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CountryLink
Context triple: [State Rail Authority, operatedServices, 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. Cornier
    Cornier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
  • E. Cylink Corporation
    Cylink Corporation was a pioneering American company specializing in data encryption and network security technologies, particularly for government and enterprise communications.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13ffcb48190a8b90543aac9e6e0 completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32510c4f88190972b1a1bcce16a9d completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:11 p.m.