Triple
T1203832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université Laval |
E25841
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Quebec City |
E7422
|
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: Quebec City | Statement: [Université Laval, hasCity, Quebec City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quebec City Context triple: [Université Laval, hasCity, Quebec City]
-
A.
Quebec City
chosen
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.
-
B.
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.
-
C.
Gatineau
Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
-
D.
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.
-
E.
Valcartier, Quebec
Valcartier, Quebec is a Canadian military community near Quebec City best known for its large training base and historic role as a mobilization camp during World War I.
- 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbf94188190991f63a84cc76b8a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58a6e0088190b35258a6accb0440 |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 1, 2026, 7:46 p.m.