Triple

T4650495
Position Surface form Disambiguated ID Type / Status
Subject Smallfield E102281 entity
Predicate civilParish P2739 FINISHED
Object Burstow E337347 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: Burstow | Statement: [Smallfield, civilParish, Burstow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burstow
Context triple: [Smallfield, civilParish, Burstow]
  • A. Burstow chosen
    Burstow is a rural village and civil parish in Surrey, England, known for its historic church and countryside setting within the Tandridge district.
  • B. Burtonwood
    Burtonwood is a village in Cheshire, England, historically associated with coal mining and the former RAF Burtonwood airbase.
  • C. Battisford
    Battisford is a small rural village and civil parish located in the English county of Suffolk.
  • D. Buellton
    Buellton is a small city in California’s Santa Ynez Valley known for its wineries, roadside attractions, and role as a gateway to the Santa Barbara wine country.
  • E. Bainsford
    Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6302078081909451589d39c7b28c completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae7636881908244b86cba1c66b7 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.