Triple

T22267780
Position Surface form Disambiguated ID Type / Status
Subject Croydon Airport E550393 entity
Predicate near P350 FINISHED
Object Waddon 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: Waddon | Statement: [Croydon Airport, near, Waddon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waddon
Context triple: [Croydon Airport, near, Waddon]
  • A. Waddon chosen
    Waddon is a suburban area in south London, England, known for its residential character, local shopping streets, and proximity to Croydon town centre.
  • B. Whaddon
    Whaddon is a village name in England that has also been used as the territorial designation for the title of Baron Whaddon in the British peerage.
  • C. Edgemead
    Edgemead is a planned residential suburb in the northern part of Cape Town, South Africa, known for its garden-city layout and family-oriented community.
  • D. Weston Green
    Weston Green is a small suburban area in Surrey, England, situated close to the village of Thames Ditton and within the commuter belt of Greater London.
  • E. Wanborough
    Wanborough is a historic rural village and civil parish in Wiltshire, England, situated near the town of Swindon.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bd0ea88190b3574883b695d56c completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.