Triple
T18857935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université du Québec |
E461222
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UQ |
—
|
NE NERFINISHED |
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: UQ | Statement: [Université du Québec, abbreviation, UQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UQ Context triple: [Université du Québec, abbreviation, UQ]
-
A.
UQ
chosen
UQ is the abbreviation for the Université du Québec, a public university system comprising multiple institutions across the province of Quebec, Canada.
-
B.
UQ mobile
UQ mobile is a Japanese mobile virtual network operator offering affordable smartphone and data services, operated under KDDI.
-
C.
D-Q University
D-Q University was a short-lived, Native American and Chicano-focused tribal college in California known for its role in Indigenous and civil rights education.
-
D.
CQU
CQU is the station code for Circular Quay railway station on Sydney's suburban rail network.
-
E.
CQU
CQU is the commonly used abbreviation for Chongqing University, a major national research university located in Chongqing, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05de3e88190b0bfcbce906daa5e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.