Triple

T3510534
Position Surface form Disambiguated ID Type / Status
Subject Astoria, Queens E74183 entity
Predicate borderedBy P224 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: [Astoria, Queens, borderedBy, Woodside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodside
Context triple: [Astoria, Queens, borderedBy, Woodside]
  • A. 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.
  • B. Woodside
    Woodside is a small town in South Australia's Adelaide Hills region, known for its wineries, agriculture, and scenic rural setting.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0e1f0c8190b054d9fba16ce4b3 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bc25328819098f7744ee228d665 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.