Triple

T3912168
Position Surface form Disambiguated ID Type / Status
Subject Syon Park E87346 entity
Predicate near P350 FINISHED
Object Isleworth E75117 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: Isleworth | Statement: [Syon Park, near, Isleworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isleworth
Context triple: [Syon Park, near, Isleworth]
  • A. Isleworth chosen
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • B. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • C. Harmondsworth
    Harmondsworth is a village in the London Borough of Hillingdon, England, known for its historic Great Barn and proximity to Heathrow Airport.
  • D. Chertsey
    Chertsey is a historic town in southeast England, known for its medieval abbey heritage and location on the River Thames.
  • E. Rickmansworth
    Rickmansworth is a small town in south-west Hertfordshire, England, known for its canals, lakes, and role as a commuter suburb of London.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed35e2d081908b5d87c7630e7ffc completed March 9, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b069d3fc8190bac9d178a571b72d completed March 23, 2026, 3:15 a.m.
Created at: March 9, 2026, 3:22 p.m.