Triple

T19024734
Position Surface form Disambiguated ID Type / Status
Subject Sir William Fleming E465578 entity
Predicate associatedWith P37 FINISHED
Object Nettlebed 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: Nettlebed | Statement: [Sir William Fleming, associatedWith, Nettlebed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nettlebed
Context triple: [Sir William Fleming, associatedWith, Nettlebed]
  • A. Nettlebed chosen
    Nettlebed is a village in Oxfordshire, England, known for its historic brickmaking industry and association with notable residents such as writer Peter Fleming.
  • B. Nettlestone
    Nettlestone is a village on the Isle of Wight in England, situated close to the coastal area around Seaview.
  • C. Bracebridge Heath
    Bracebridge Heath is a large village and civil parish in Lincolnshire, England, situated just south of the city of Lincoln.
  • D. Nethermead
    Nethermead is a large open meadow in Brooklyn’s Prospect Park, known for its expansive lawns and use as a site for picnics, recreation, and public events.
  • E. Ightenhill
    Ightenhill is a residential area and electoral ward within the town and borough of Burnley in Lancashire, 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6e271848190b67ad08af35b6796 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.