Triple

T19370923
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 365 E484533 entity
Predicate family P566 FINISHED
Object Networker 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: Networker | Statement: [British Rail Class 365, family, Networker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Networker
Context triple: [British Rail Class 365, family, Networker]
  • A. Networker chosen
    Networker is a family of electric and diesel multiple-unit trains used on suburban and regional rail services in southeast England.
  • B. Network
    Network is a National Hunt stallion best known as the sire of top-class jump racehorses, including the champion chaser Sprinter Sacre.
  • C. Network
    Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
  • D. Network Q
    Network Q is a UK-based used car sales brand historically known for its high-profile sponsorship of motorsport events.
  • E. NETWORK
    NETWORK is the radio callsign used by Network Aviation, an Australian regional airline operating charter and scheduled services.
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619b09ef08190a8b420316c0b8eb3 completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.