Triple

T13963349
Position Surface form Disambiguated ID Type / Status
Subject Barnardiston E335854 entity
Predicate civilParish P2739 FINISHED
Object Barnardiston E335854 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: Barnardiston | Statement: [Barnardiston, civilParish, Barnardiston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barnardiston
Context triple: [Barnardiston, civilParish, Barnardiston]
  • A. Barnardiston chosen
    Barnardiston is a small rural village and civil parish located in the English county of Suffolk.
  • B. Ilkeston
    Ilkeston is a market town in the East Midlands of England, historically known for its coal mining and textile industries.
  • C. Banchory
    Banchory is a small town in northeast Scotland situated on the River Dee, known for its scenic surroundings and role as a gateway to Royal Deeside.
  • D. Ballingry
    Ballingry is a small former mining town in Fife, Scotland, situated near Loch Leven in the country’s east-central Lowlands.
  • E. Winchburgh
    Winchburgh is a rapidly growing village in West Lothian, Scotland, known for its major housing and infrastructure expansion projects transforming it into a new town.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7c73d48190b8e02971b5a8ed5f completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d890d48190affd194b2439c271 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.