Triple

T22668724
Position Surface form Disambiguated ID Type / Status
Subject Chaudière Falls E559861 entity
Predicate accessibleFrom P1985 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: [Chaudière Falls, accessibleFrom, Gatineau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gatineau
Context triple: [Chaudière Falls, accessibleFrom, 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. Saint-Hyacinthe
    Saint-Hyacinthe is a city in southwestern Quebec, Canada, known as an important regional center for agriculture, agri-food industries, and education.
  • C. Trois-Rivières
    Trois-Rivières is a historic industrial and cultural city in the Canadian province of Quebec, located roughly midway between Montreal and Quebec City.
  • D. Terrebonnien
    Terrebonnien is the French demonym for a resident or native of Terrebonne, a city in the province of Quebec, Canada.
  • E. Joliette
    Joliette is a Montreal Metro station on the Green Line serving the Mercier–Hochelaga-Maisonneuve borough in Montreal, Quebec, Canada.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781de1d48190947cb1bb9d0890d9 completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e7eb1a881908f68bccf7158c584 completed May 18, 2026, 11:19 p.m.
Created at: April 17, 2026, 3:09 p.m.