Triple

T11287602
Position Surface form Disambiguated ID Type / Status
Subject Buckingham E267238 entity
Predicate locatedEastOf P4240 FINISHED
Object downtown 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: downtown Gatineau | Statement: [Buckingham, locatedEastOf, downtown Gatineau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: downtown Gatineau
Context triple: [Buckingham, locatedEastOf, downtown Gatineau]
  • A. Gatineau city hall
    Gatineau city hall is the main municipal government building and administrative center for the city of Gatineau, Quebec, Canada.
  • B. Downtown Ottawa core
    Downtown Ottawa core is the central business and commercial district of Ottawa, Ontario, characterized by major government buildings, offices, and urban amenities.
  • C. 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.
  • D. Downtown Quebec City
    Downtown Quebec City is the historic and commercial core of Quebec City, known for its European-style architecture, government institutions, and vibrant urban life.
  • E. downtown core of Montreal
    The downtown core of Montreal is the city’s central business district and cultural hub, known for its dense concentration of offices, universities, shopping streets, and entertainment venues.
  • 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_69e4f48e190c8190b46d4286e2acaef1 completed April 19, 2026, 3:28 p.m.
Created at: April 8, 2026, 9:32 p.m.