Triple

T1107325
Position Surface form Disambiguated ID Type / Status
Subject Papineau E25514 entity
Predicate region P40 FINISHED
Object Island of Montreal E20285 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: Island of Montreal | Statement: [Papineau, region, Island of Montreal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Island of Montreal
Context triple: [Papineau, region, Island of Montreal]
  • A. Island of Montreal chosen
    The Island of Montreal is a large, densely populated island in southwestern Quebec that hosts the city of Montreal and several surrounding municipalities in the Saint Lawrence River.
  • B. Grande Île
    Grande Île is the historic center of Strasbourg, France, renowned for its medieval architecture, canals, and the Gothic Strasbourg Cathedral.
  • C. West Island
    West Island is the suburban western portion of the Island of Montreal, known for its residential communities, green spaces, and proximity to the city’s urban core.
  • D. Île Notre-Dame
    Île Notre-Dame is a man-made island in the Saint Lawrence River in Montreal, best known as a principal site of Expo 67 and now home to parks, a race circuit, and recreational facilities.
  • E. Presqu’île
    Presqu’île is the central peninsula district of Lyon, France, known for its historic architecture, major shopping streets, and cultural landmarks between the Rhône and Saône rivers.
  • 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_69a49428d4448190b3b36991ceae87ce completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b9e47e4881908928900df72781f0 completed March 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a010c10819081994835ae7a809a completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:43 p.m.