Triple
T12709172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université de Sherbrooke |
E303668
|
entity |
| Predicate | hasResearchCenterType |
P38229
|
FINISHED |
| Object | interdisciplinary research centers |
—
|
LITERAL 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: interdisciplinary research centers | Statement: [Université de Sherbrooke, hasResearchCenterType, interdisciplinary research centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchCenterType Context triple: [Université de Sherbrooke, hasResearchCenterType, interdisciplinary research centers]
-
A.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
B.
hasResearchCenters
chosen
Indicates that an entity possesses, hosts, or is associated with one or more research centers.
-
C.
containsResearchStation
Indicates that one entity geographically includes or hosts a research station within its boundaries.
-
D.
isIndustrialCenter
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
-
E.
isScientificCenterFor
Indicates that one entity serves as a primary location or institution dedicated to conducting, coordinating, or supporting scientific research, education, or activities related to another entity.
- F. None of above.
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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.