Triple

T9640795
Position Surface form Disambiguated ID Type / Status
Subject Littleton E233058 entity
Predicate nearbySettlement P350 FINISHED
Object Shepperton Green E762498 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: Shepperton Green | Statement: [Littleton, nearbySettlement, Shepperton Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shepperton Green
Context triple: [Littleton, nearbySettlement, Shepperton Green]
  • A. Shepperton Green chosen
    Shepperton Green is a small residential locality in Shepperton, Surrey, England, known for its village green and proximity to the River Thames.
  • B. Wooburn Green
    Wooburn Green is a village and large green in Buckinghamshire, England, situated near High Wycombe in the River Wye valley.
  • C. Talbot Green
    Talbot Green is a retail and commercial village in Rhondda Cynon Taf, South Wales, known for its shopping centre and role as a local economic hub.
  • D. Englefield Green
    Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
  • E. Esher Green
    Esher Green is a historic village green and open space in Esher, Surrey, known for its picturesque setting and local recreational use.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b552a1c81909a1fab347110eeb1 completed April 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189fd53fc8190bc36f2b8e0e21036 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:12 p.m.