Triple

T21923851
Position Surface form Disambiguated ID Type / Status
Subject Q18 bus E541388 entity
Predicate passesThrough P225 FINISHED
Object Woodside 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: Woodside | Statement: [Q18 bus, passesThrough, Woodside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodside
Context triple: [Q18 bus, passesThrough, Woodside]
  • A. Woodside
    Woodside is a small town in South Australia's Adelaide Hills region, known for its wineries, agriculture, and scenic rural setting.
  • B. Woodside
    Woodside is a major Long Island Rail Road station in Queens, New York City, serving as a key transfer point between commuter rail lines and the New York City Subway.
  • C. Woodside chosen
    Woodside is a riverside district and ferry terminal on the Wirral Peninsula in England, serving as a key crossing point on the River Mersey opposite Liverpool.
  • D. Woodside
    Woodside is a locality or neighborhood within the town of Amersham in Buckinghamshire, England.
  • E. Woodside
    Woodside is a diverse residential and commercial neighborhood in the western part of Queens, New York City.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1233dc504819083ee27e253805189 completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:45 p.m.