Triple

T4749459
Position Surface form Disambiguated ID Type / Status
Subject Nacton E105441 entity
Predicate nearbySettlement P350 FINISHED
Object Bucklesham E299716 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: Bucklesham | Statement: [Nacton, nearbySettlement, Bucklesham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucklesham
Context triple: [Nacton, nearbySettlement, Bucklesham]
  • A. Bucklesham chosen
    Bucklesham is a small village and civil parish in Suffolk, England, situated near the county’s eastern coast.
  • B. Shottisham
    Shottisham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic church.
  • C. Bickenhill
    Bickenhill is a village in the West Midlands of England, notable for its proximity to major transport hubs and urban centers including Birmingham.
  • D. Buckland
    Buckland is a small Inupiat community and city in northwestern Alaska situated along the Buckland River.
  • E. Buckland
    Buckland is a small historic community located within the Bull Run Mountains region of northern Virginia.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c6f5ac81908a62f9c17e77ac86 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a4e0844819098bb9abb05094a89 completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.