Triple

T17210776
Position Surface form Disambiguated ID Type / Status
Subject A20 road E417722 entity
Predicate passesNear P416 FINISHED
Object Sidcup NE NERFINISHED

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: Sidcup | Statement: [A20 road, passesNear, Sidcup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidcup
Context triple: [A20 road, passesNear, Sidcup]
  • A. Sidcup chosen
    Sidcup is a suburban district in southeast London, England, known for its residential character, local colleges, and position within the London Borough of Bexley.
  • B. Rainham
    Rainham is a suburban town in East London, England, known for its residential character and proximity to the River Thames.
  • C. Chislehurst
    Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
  • D. Wanstead
    Wanstead is a suburban area in East London known for its village-like high street, green spaces such as Wanstead Flats and Wanstead Park, and a mix of residential and conservation areas.
  • E. Dagenham
    Dagenham is a suburban town in East London, historically known for its large Ford car plant and extensive post-war housing estates.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc5a51481908d5ea0f9a1e9aa8b completed April 19, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:38 a.m.