Triple

T6219966
Position Surface form Disambiguated ID Type / Status
Subject Annapolis Valley E139084 entity
Predicate hasTown P847 FINISHED
Object Wolfville E194316 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: Wolfville | Statement: [Annapolis Valley, hasTown, Wolfville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolfville
Context triple: [Annapolis Valley, hasTown, Wolfville]
  • A. Wolfville chosen
    Wolfville is a small town in Nova Scotia, Canada, known for its vibrant arts scene, wine industry, and role as the home of Acadia University.
  • B. Blundeston
    Blundeston is a small village and civil parish in Suffolk, England, known for its rural character and historical association with Charles Dickens’ novel "David Copperfield."
  • C. Wereham
    Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
  • D. Wolfville, Nova Scotia
    Wolfville, Nova Scotia is a small university town in the Annapolis Valley known for its vibrant cultural scene, historic charm, and surrounding vineyards and orchards.
  • E. Lunenburg
    Lunenburg is a historic coastal town in eastern Canada renowned for its colorful waterfront, shipbuilding heritage, and UNESCO World Heritage–listed Old 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bbb768819099402d367f124639 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dc349b481909ce369a82fa96412 completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:21 p.m.