Triple

T20856231
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 220 E513488 entity
Predicate trainFamily P39824 FINISHED
Object Voyager 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: Voyager | Statement: [British Rail Class 220, trainFamily, Voyager]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voyager
Context triple: [British Rail Class 220, trainFamily, Voyager]
  • A. Voyager
    Voyager is South African Airways’ loyalty program that rewards frequent flyers with miles redeemable for flights, upgrades, and other travel benefits.
  • B. Voyager
    Voyager is the Royal Air Force’s multi-role tanker transport aircraft, providing air-to-air refuelling and strategic airlift capabilities.
  • C. Voyager chosen
    Voyager is a class of high-speed diesel-electric multiple unit trains used for intercity passenger services in the United Kingdom.
  • D. Voyager
    Voyager is a film adaptation of Max Frisch’s novel "Homo Faber," exploring themes of fate, identity, and the consequences of rationalism through the journey of an emotionally detached engineer.
  • E. Voyager
    Voyager is a science fiction novel by Diana Gabaldon, part of the Outlander series, that follows time-traveling nurse Claire Fraser as she reunites with her 18th-century husband Jamie after decades apart.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a81ac4819084a07625b8ed4ec5 completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.