Triple

T10735181
Position Surface form Disambiguated ID Type / Status
Subject ALP-45DP E253176 entity
Predicate primaryDepotRegion P25667 FINISHED
Object Montreal, Quebec E2604 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: Montreal, Quebec | Statement: [ALP-45DP, primaryDepotRegion, Montreal, Quebec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montreal, Quebec
Context triple: [ALP-45DP, primaryDepotRegion, Montreal, Quebec]
  • A. Montreal, Quebec, Canada
    Montreal, Quebec, Canada is a major French-speaking metropolis known for its vibrant arts scene, diverse culture, and historic architecture on the Saint Lawrence River.
  • B. Montreal chosen
    Montreal is the largest city in Quebec, Canada, known for its vibrant bilingual culture, historic architecture, and status as a major economic and cultural center.
  • C. Quebec City
    Quebec City is the historic capital of the Canadian province of Quebec, renowned for its well-preserved fortified old town and rich French colonial heritage.
  • D. Joliette, Quebec
    Joliette, Quebec is a small city in the Lanaudière region northeast of Montreal, known as a regional cultural and administrative center.
  • E. Westmount, Quebec, Canada
    Westmount, Quebec, Canada is an affluent, predominantly English-speaking suburb on the Island of Montreal known for its historic architecture and cultural prominence.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71021cccc8190ba2d3bbd7d50e2a7 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de84932abc8190907c32720e35442e completed April 14, 2026, 6:16 p.m.
Created at: April 8, 2026, 9:14 p.m.