Triple

T21925623
Position Surface form Disambiguated ID Type / Status
Subject Forest Row E541436 entity
Predicate postTown P2711 FINISHED
Object Forest Row 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: Forest Row | Statement: [Forest Row, postTown, Forest Row]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest Row
Context triple: [Forest Row, postTown, Forest Row]
  • A. Forest Row chosen
    Forest Row is a rural English village in East Sussex known for its proximity to Ashdown Forest and its strong community and alternative culture.
  • B. Rowan Woods
    Rowan Woods is an Australian film and television director best known for his acclaimed drama "The Boys" and his work on series such as "The Kettering Incident" and "Rake."
  • C. Roundtree
    Roundtree is a surname most famously associated with American actor Richard Roundtree, best known for his iconic role as detective John Shaft in the "Shaft" film series.
  • D. Woodley
    Woodley is a suburban town in Berkshire, England, situated near Reading and known for its residential communities and local amenities.
  • E. Woodley
    Woodley is a suburban area in the Metropolitan Borough of Stockport, Greater Manchester, England.
  • 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fa40c48190b80a85e562ea2591 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:46 p.m.