Triple
T2372590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Innovation, Science and Economic Development Canada |
E46123
|
entity |
| Predicate | officialLanguageNameFrench |
P26955
|
FINISHED |
| Object | Innovation, Sciences et Développement économique Canada |
E46123
|
NE FINISHED |
How this triple was built (3 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: Innovation, Sciences et Développement économique Canada | Statement: [Innovation, Science and Economic Development Canada, officialLanguageNameFrench, Innovation, Sciences et Développement économique Canada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innovation, Sciences et Développement économique Canada Context triple: [Innovation, Science and Economic Development Canada, officialLanguageNameFrench, Innovation, Sciences et Développement économique Canada]
-
A.
Innovation, Science and Economic Development Canada
chosen
Innovation, Science and Economic Development Canada is a Canadian federal government department responsible for fostering innovation, scientific research, and economic growth across the country.
-
B.
National Research Council Canada
The National Research Council Canada is the Government of Canada’s primary national research and technology organization, supporting scientific innovation and industrial development across a wide range of fields.
-
C.
Natural Sciences and Engineering Research Council of Canada
The Natural Sciences and Engineering Research Council of Canada is a federal agency that funds and promotes research and training in the natural sciences and engineering across Canada.
-
D.
Social Sciences and Humanities Research Council of Canada
The Social Sciences and Humanities Research Council of Canada is a federal research funding agency that supports and promotes academic work in the social sciences and humanities across Canada.
-
E.
Defence Research and Development Canada
Defence Research and Development Canada is the national agency responsible for providing scientific and technological support to the Canadian Armed Forces and the Department of National Defence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialLanguageNameFrench Context triple: [Innovation, Science and Economic Development Canada, officialLanguageNameFrench, Innovation, Sciences et Développement économique Canada]
-
A.
officialLanguage
Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
-
B.
additionalOfficialLanguage
Indicates that an entity has another language, beyond its primary one, that holds official or formally recognized status.
-
C.
hasLanguageOfOfficialName
chosen
Indicates that an entity’s official name is expressed in a specified language.
-
D.
previousOfficialLanguage
Indicates that one language formerly held official status in a country, region, or organization before being replaced or losing that status.
-
E.
oneOfSixOfficialLanguagesOf
Indicates that a language is one of the six officially recognized languages of a particular organization, institution, or entity.
- F. None of above.
Provenance (4 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abca4d89248190be7d712d5fa8382b |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf3294d88190be67aa4cca72bbb4 |
completed | March 9, 2026, 12:38 p.m. |
| PD | Predicate disambiguation | batch_69abc59d82f08190b7c36982d1ae783d |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:56 p.m.