Triple

T8299648
Position Surface form Disambiguated ID Type / Status
Subject Wolfville E194316 entity
Predicate nearbyCommunity P4647 FINISHED
Object Kentville E578723 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: Kentville | Statement: [Wolfville, nearbyCommunity, Kentville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kentville
Context triple: [Wolfville, nearbyCommunity, Kentville]
  • A. Kentville chosen
    Kentville is a small town in Nova Scotia, Canada, known as a commercial and service hub for the surrounding agricultural Annapolis Valley region.
  • B. Farlington
    Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
  • C. Elizabethtown-Kitley
    Elizabethtown-Kitley is a rural township in eastern Ontario, Canada, known for its agricultural landscape and small communities near the city of Brockville.
  • D. Fiskeville
    Fiskeville is a small village located within the town of Cranston in Providence County, Rhode Island.
  • E. Terrington
    Terrington is a small village and civil parish in North Yorkshire, England, known for its rural setting within the Ryedale district.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7dfb60e48190bfa5de1c1496d3b5 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68bcb43081909e3a8a00947d03f2 completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:53 p.m.