Triple

T18974830
Position Surface form Disambiguated ID Type / Status
Subject NSCC Kingstec Campus E464266 entity
Predicate city P40 FINISHED
Object Kentville NE NERFINISHED

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: [NSCC Kingstec Campus, city, Kentville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kentville
Context triple: [NSCC Kingstec Campus, city, 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. Lorneville
    Lorneville is a small community in Nova Scotia, Canada, located along the province’s northern shore near the New Brunswick border.
  • C. Lorneville
    Lorneville is a residential and industrial neighbourhood located on the western side of Saint John, New Brunswick, Canada.
  • D. 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.
  • E. Farlington
    Farlington is a residential suburb in the northern part of Portsmouth, England, known for its coastal location and access to major transport routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d61e71988190817cada25672a1ce completed April 20, 2026, 7:30 a.m.
Created at: April 10, 2026, noon