Triple

T16969460
Position Surface form Disambiguated ID Type / Status
Subject Harnham Water Meadows E411627 entity
Predicate locatedIn P40 FINISHED
Object Harnham E411663 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: Harnham | Statement: [Harnham Water Meadows, locatedIn, Harnham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harnham
Context triple: [Harnham Water Meadows, locatedIn, Harnham]
  • A. Harnham chosen
    Harnham is a suburb of Salisbury in Wiltshire, England, known for its historic buildings and scenic riverside setting near Salisbury Cathedral.
  • B. Haddenham
    Haddenham is a large village in Buckinghamshire, England, known for its historic architecture and rural setting near the town of Thame.
  • C. Haddenham
    Haddenham is a village and civil parish in Cambridgeshire, England, known for its rural character and historic parish church.
  • D. Hanham
    Hanham is a suburban village and residential area on the eastern edge of Bristol in South West England.
  • E. Harmston
    Harmston is a small village and civil parish in Lincolnshire, England, known for its rural character and proximity to the city of Lincoln.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a86c64819092831f8ddf1e536b completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d471d4248190acf40b6c11926a65 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.