Triple
T30930341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish universities |
E787974
|
entity |
| Predicate | researchFundingSources |
P170312
|
FINISHED |
| Object | state research councils |
—
|
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: state research councils | Statement: [Swedish universities, researchFundingSources, state research councils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchFundingSources Context triple: [Swedish universities, researchFundingSources, state research councils]
-
A.
researchSource
Indicates that one entity serves as the origin, reference, or basis of information, evidence, or data used in another entity’s research or investigative activity.
-
B.
researchSupportType
Indicates the specific kind of support provided for research activities, such as funding, resources, or services.
-
C.
researchAccess
Indicates that one entity is permitted to access, use, or retrieve another entity specifically for research-related purposes.
-
D.
coordinatesResearchOn
Indicates that one entity organizes and directs the planning, execution, and integration of research activities involving another entity.
-
E.
fundingFocus
Indicates that one entity’s funding is directed toward or prioritized for a particular target, theme, or area of activity.
- F. None of above. chosen
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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f692e0113c8190b5b207b7e5182ee0 |
completed | May 3, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68c517f308190873c1c7e05a0c6d0 |
completed | May 2, 2026, 11:44 p.m. |
Created at: April 29, 2026, 8:52 p.m.