Triple

T11287585
Position Surface form Disambiguated ID Type / Status
Subject Buckingham E267238 entity
Predicate partOf P40 FINISHED
Object city of 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: city of Gatineau | Statement: [Buckingham, partOf, city of Gatineau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Gatineau
Context triple: [Buckingham, partOf, city of 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. Longueuil
    Longueuil is a major suburb of Montreal and one of the largest cities on the south shore of the Saint Lawrence River in Quebec, Canada.
  • C. Saint-Hyacinthe
    Saint-Hyacinthe is a city in southwestern Quebec, Canada, known as an important regional center for agriculture, agri-food industries, and education.
  • D. Joliette
    Joliette is a Montreal Metro station on the Green Line serving the Mercier–Hochelaga-Maisonneuve borough in Montreal, Quebec, Canada.
  • E. Pierrefonds
    Pierrefonds is a residential suburban area on the Island of Montreal in Quebec, Canada, known for its diverse population and proximity to the Rivière des Prairies.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e986b0f08190a414749eaa7f1a5d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8a4322c8190a30e460892123579 completed April 20, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:32 p.m.