Triple

T732142
Position Surface form Disambiguated ID Type / Status
Subject Middlesex, England E14852 entity
Predicate hasHistoricLandmark P1098 FINISHED
Object Twickenham area E81336 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: Twickenham area | Statement: [Middlesex, England, hasHistoricLandmark, Twickenham area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Twickenham area
Context triple: [Middlesex, England, hasHistoricLandmark, Twickenham area]
  • A. Ealing, London
    Ealing, London is a suburban district in West London known for its residential character, green spaces, and role as a filming location in British television and cinema.
  • B. Bracknell Forest
    Bracknell Forest is a unitary authority area and borough in Berkshire, South East England, encompassing the town of Bracknell and surrounding communities.
  • C. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • D. Surrey Heath
    Surrey Heath is a local government district and borough in Surrey, England, encompassing towns and villages such as Bagshot, Camberley, and Frimley.
  • E. West London chosen
    West London is a major subregion of the UK capital encompassing several affluent residential and commercial districts, including areas like Kensington and Chelsea.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9ba3888190889a1ad554f73c5e completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6375fd8388190bb4a13bf4b151bfd completed March 3, 2026, 1:20 a.m.
Created at: March 1, 2026, 7:37 p.m.