Triple

T7162763
Position Surface form Disambiguated ID Type / Status
Subject Attleborough E166985 entity
Predicate civilParishIncludes P852 FINISHED
Object Attleborough E166985 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: Attleborough | Statement: [Attleborough, civilParishIncludes, Attleborough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attleborough
Context triple: [Attleborough, civilParishIncludes, Attleborough]
  • A. Attleborough chosen
    Attleborough is a market town and civil parish in the English county of Norfolk.
  • B. Downham
    Downham is a picturesque rural village in Lancashire, England, known for its unspoiled traditional character and scenic setting near Pendle Hill.
  • C. Downham
    Downham is a residential district in southeast London known for its interwar housing estates and suburban character within the London Borough of Lewisham.
  • D. Harleston
    Harleston is a village and civil parish located in the county of Suffolk in eastern England.
  • E. Bridport
    Bridport is a historic market town in southwest England known for its rope-making heritage and proximity to the Jurassic Coast.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82feee481908fa180ea8c9924fa completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8fae30481909c39d68fb828a2c0 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:47 p.m.