Triple

T3866235
Position Surface form Disambiguated ID Type / Status
Subject Queens Boulevard E91860 entity
Predicate passesThrough P225 FINISHED
Object Woodside E126249 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: Woodside | Statement: [Queens Boulevard, passesThrough, Woodside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodside
Context triple: [Queens Boulevard, 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 chosen
    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
    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. Parkwood
    Parkwood is a residential neighborhood in the Far Northeast section of Philadelphia, Pennsylvania, known for its suburban-style housing and proximity to major roadways.
  • E. Sunridge
    Sunridge is a residential suburb within the Milnerton area of Cape Town, South Africa.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3b8d988190b56d42ac1521e19c completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512410f38819089adccf0a476dd8f completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:19 p.m.