Triple
T378621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Society Industry Fellowships |
E8625
|
entity |
| Predicate | targetOrganisationType |
P3504
|
FINISHED |
| Object | universities |
—
|
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: universities | Statement: [Royal Society Industry Fellowships, targetOrganisationType, universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOrganisationType Context triple: [Royal Society Industry Fellowships, targetOrganisationType, universities]
-
A.
organizationType
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
parentOrganizationType
Indicates the classification or category of the organization that serves as the parent in a hierarchical relationship.
-
C.
hasTypeOfOrganization
chosen
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
D.
managingOrganisation
Indicates that one organisation has responsibility for directing, overseeing, or administering another entity or activity.
-
E.
sponsoringOrganizationType
Indicates the kind or category of organization that provides sponsorship or support in the described relationship or activity.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2974988190a1d6316cbb5159c8 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96351cc8190a55adf95f8c27e9e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.