Triple

T20856226
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 220 E513488 entity
Predicate partOf P40 FINISHED
Object Voyager family 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 family | Statement: [British Rail Class 220, partOf, Voyager family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voyager family
Context triple: [British Rail Class 220, partOf, Voyager family]
  • A. Voyager family chosen
    The Voyager family is a series of high-speed diesel-electric multiple unit trains used in the United Kingdom for intercity passenger services.
  • B. Ariane family
    The Ariane family is a series of European expendable launch vehicles developed under ESA leadership and operated commercially to place satellites and other payloads into orbit.
  • C. Vega family
    The Vega family is a prominent fictional Californio family in Johnston McCulley’s Zorro stories, known for their social standing and connection to the hero Don Diego de la Vega.
  • D. Vega family
    The Vega family is a series of European small-lift launch vehicles designed primarily for delivering light payloads into low Earth orbit.
  • E. Vega family
    The Vega family is a prominent fictional family featured in the soap opera "One Life to Live," known for their storylines set in the town of Llanview, Pennsylvania.
  • 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.