Triple

T20314988
Position Surface form Disambiguated ID Type / Status
Subject Reading urban area E510355 entity
Predicate hasSettlement P1068 FINISHED
Object Theale 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: Theale | Statement: [Reading urban area, hasSettlement, Theale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theale
Context triple: [Reading urban area, hasSettlement, Theale]
  • A. Theale chosen
    Theale is a village and civil parish in West Berkshire, England, situated west of Reading and known for its transport links and proximity to the River Kennet.
  • B. Shenstone
    Shenstone is a village in Staffordshire, England, served by a railway station on the Cross-City Line between Birmingham and Lichfield.
  • C. Windlestone
    Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
  • D. Brighthelmstone
    Brighthelmstone is the historic name of the English coastal town now known as Brighton, a popular seaside resort on the south coast of England.
  • E. Ilminster
    Ilminster is a historic market town in Somerset, England, known for its medieval church and traditional rural character.
  • 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67786f4dc8190b02a6c2a4338362d completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:19 a.m.