Triple

T15618940
Position Surface form Disambiguated ID Type / Status
Subject Laurel Hill Boulevard E375493 entity
Predicate runsThrough P416 FINISHED
Object Woodside
Woodside is a diverse residential and commercial neighborhood in the western part of Queens, New York City.
 E1168611 NE FINISHED

How this triple was built (4 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: [Laurel Hill Boulevard, runsThrough, Woodside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woodside
Context triple: [Laurel Hill Boulevard, runsThrough, Woodside]
  • A. 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.
  • B. Woodside
    Woodside is a locality or neighborhood within the town of Amersham in Buckinghamshire, England.
  • C. 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.
  • D. Woodside
    Woodside is a small town in South Australia's Adelaide Hills region, known for its wineries, agriculture, and scenic rural setting.
  • E. Woodside
    Woodside is a small, affluent town on the San Francisco Peninsula in California, known for its wooded rural character, large estates, and extensive network of nearby parks and open space preserves.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Woodside
Triple: [Laurel Hill Boulevard, runsThrough, Woodside]
Generated description
Woodside is a diverse residential and commercial neighborhood in the western part of Queens, New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woodside
Target entity description: Woodside is a diverse residential and commercial neighborhood in the western part of Queens, New York City.
  • A. Woodside
    Woodside is a residential and commercial locality within the London Borough of Croydon in South London, England.
  • B. Woodside
    Woodside is a small, affluent town on the San Francisco Peninsula in California, known for its wooded rural character, large estates, and extensive network of nearby parks and open space preserves.
  • C. Woodside
    Woodside is a locality or neighborhood within the town of Amersham in Buckinghamshire, England.
  • D. 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.
  • E. Woodside
    Woodside is a small town in South Australia's Adelaide Hills region, known for its wineries, agriculture, and scenic rural setting.
  • F. None of above. chosen

Provenance (5 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3b643c819093230df6cfe440b9 completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff5fea7cb48190a1acb9201a12fa32 completed May 9, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69ff62e84bec81908a4885bf7f8f3749 completed May 9, 2026, 4:38 p.m.
Created at: April 10, 2026, 4:13 a.m.