Triple

T1119190
Position Surface form Disambiguated ID Type / Status
Subject Parliament Hill E11169 entity
Predicate hasView P854 FINISHED
Object Gatineau E39089 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: Gatineau | Statement: [Parliament Hill, hasView, Gatineau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatineau
Context triple: [Parliament Hill, hasView, Gatineau]
  • A. Gatineau chosen
    Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
  • B. 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.
  • C. Montreal
    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.
  • D. Outremont
    Outremont is an affluent residential borough of Montreal, Quebec, known for its tree-lined streets, historic architecture, and significant Hasidic Jewish community.
  • E. Mirabel, Quebec
    Mirabel, Quebec is a city in southwestern Quebec, Canada, known for its large rural territory and as the former site of Montréal–Mirabel International Airport.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bbbb6ac481909c331a5eea7a5b38 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f2940c81908bea3f0242d2d734 completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:43 p.m.