Triple
T18487183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Industrial Research Chairs |
E451719
|
entity |
| Predicate | fundingCondition |
P75196
|
FINISHED |
| Object | matching or leveraged industrial contributions |
—
|
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: matching or leveraged industrial contributions | Statement: [Industrial Research Chairs, fundingCondition, matching or leveraged industrial contributions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingCondition Context triple: [Industrial Research Chairs, fundingCondition, matching or leveraged industrial contributions]
-
A.
fundingPolicy
Indicates the rules or guidelines governing how financial resources are allocated, distributed, or managed within a given context.
-
B.
fundingContext
Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
-
C.
fundingModel
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
D.
fundingCharacteristics
chosen
Indicates the nature, terms, and key attributes of how something is funded or financially supported.
-
E.
donationCondition
Indicates that a donation is subject to specific terms, requirements, or circumstances that must be met for it to occur or be valid.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d7e79c819083bf5c54faaa4810 |
completed | April 19, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69e469d671088190b619de96ea6f92ab |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:35 a.m.