Triple

T13803974
Position Surface form Disambiguated ID Type / Status
Subject Croydon Central E331713 entity
Predicate containsArea P11790 FINISHED
Object Woodside
Woodside is a residential and commercial locality within the London Borough of Croydon in South London, England.
 E1062327 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: [Croydon Central, containsArea, Woodside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Woodside
Context triple: [Croydon Central, containsArea, 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
    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 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: [Croydon Central, containsArea, Woodside]
Generated description
Woodside is a residential and commercial locality within the London Borough of Croydon in South London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Woodside
Target entity description: Woodside is a residential and commercial locality within the London Borough of Croydon in South London, England.
  • A. 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.
  • B. 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.
  • C. Woodside
    Woodside is a small town in South Australia's Adelaide Hills region, known for its wineries, agriculture, and scenic rural setting.
  • D. 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.
  • E. Woodside
    Woodside is a locality or neighborhood within the town of Amersham in Buckinghamshire, England.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026c36108190a7436034a730a261 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08bd7c48190bcdf110ccd27c003 completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b25c9e5881909d526b38096d6446 completed May 3, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f7b2f1b3848190bc30537d5092ee07 completed May 3, 2026, 8:41 p.m.
Created at: April 9, 2026, 10:12 p.m.