Triple

T19860426
Position Surface form Disambiguated ID Type / Status
Subject Jewish community of Montreal E477240 entity
Predicate hasNeighborhood P40 FINISHED
Object Snowdon 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: Snowdon | Statement: [Jewish community of Montreal, hasNeighborhood, Snowdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowdon
Context triple: [Jewish community of Montreal, hasNeighborhood, Snowdon]
  • A. Snowdon chosen
    Snowdon is a major Montreal Metro station in the Côte-des-Neiges–Notre-Dame-de-Grâce borough that serves as an important transfer point between multiple subway lines.
  • B. Snowdon
    Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
  • C. Tryfan
    Tryfan is a distinctive, rugged mountain in Snowdonia, Wales, famed for its jagged profile and popular scrambling routes.
  • D. Eryri
    Eryri is the Welsh name for Snowdonia, a mountainous national park in northwest Wales known for its rugged peaks, lakes, and scenic landscapes.
  • E. Snowdon Massif
    Snowdon Massif is the central mountainous group in Snowdonia, Wales, encompassing Snowdon and its surrounding peaks and ridges.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589a68b081908c2f333b6a292a1f completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.