Triple

T16909340
Position Surface form Disambiguated ID Type / Status
Subject Cove E410153 entity
Predicate partOf P40 FINISHED
Object Rushmoor E87555 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: Rushmoor | Statement: [Cove, partOf, Rushmoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rushmoor
Context triple: [Cove, partOf, Rushmoor]
  • A. Rushmoor
    Rushmoor is a local government district and borough in Hampshire, England, centered on the towns of Aldershot and Farnborough.
  • B. Minworth
    Minworth is a suburban village in the north-east of Birmingham, England, known for its industrial estates, residential areas, and proximity to major transport routes.
  • C. Parrs Wood
    Parrs Wood is an area in south Manchester, England, known for its large entertainment and leisure complex and the historic Parrs Wood High School.
  • D. Borough of Rushmoor chosen
    The Borough of Rushmoor is a local government district and borough in northeast Hampshire, England, encompassing the towns of Aldershot and Farnborough.
  • E. Beddington
    Beddington is a suburban area in South London known for its historic village core, green spaces, and proximity to Croydon and central London.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3bdc3081908a9b4f6e63405348 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ecafd908190b8a1513138a29303 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:30 a.m.