Triple

T8824903
Position Surface form Disambiguated ID Type / Status
Subject SG postcode area E209989 entity
Predicate hasPostTown P2711 FINISHED
Object Buntingford E196449 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: Buntingford | Statement: [SG postcode area, hasPostTown, Buntingford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buntingford
Context triple: [SG postcode area, hasPostTown, Buntingford]
  • A. Buntingford chosen
    Buntingford is a small historic market town in Hertfordshire, England, known for its traditional high street and rural surroundings.
  • B. Belchford
    Belchford is a small rural village in eastern England, situated within the scenic, rolling countryside of the Lincolnshire Wolds.
  • C. Buckland
    Buckland is a small Inupiat community and city in northwestern Alaska situated along the Buckland River.
  • D. Buckland
    Buckland is a small historic community located within the Bull Run Mountains region of northern Virginia.
  • E. Buckland
    Buckland is a residential suburb located on Portsea Island within the city of Portsmouth on England’s south 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc603220508190b64e22dec3ee5ceb completed April 1, 2026, midnight
NED1 Entity disambiguation (via context triple) batch_69cfa060ccd0819082824c8595b244a6 completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:46 p.m.