Triple

T17376613
Position Surface form Disambiguated ID Type / Status
Subject Beloeil E422452 entity
Predicate hasNeighbour P5707 FINISHED
Object McMasterville 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: McMasterville | Statement: [Beloeil, hasNeighbour, McMasterville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McMasterville
Context triple: [Beloeil, hasNeighbour, McMasterville]
  • A. McMasterville chosen
    McMasterville is a small suburban municipality located on the south shore of the Saint Lawrence River in the Montérégie region of Quebec, Canada.
  • B. Markleeville
    Markleeville is a small unincorporated community in the Sierra Nevada of California known for its historic charm, outdoor recreation, and role as the administrative center of Alpine County.
  • C. Mariatown
    Mariatown is a small riverside community within the Township of South Dundas in eastern Ontario, Canada.
  • D. Parkeston
    Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
  • E. Wallaceville
    Wallaceville is a residential suburb located within the Hutt Valley region near Wellington, New Zealand.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6ddbd081908908b953597977d2 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.