Triple
T2364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRE Fellow |
E43
|
entity |
| Predicate | organizationTypeOfConferer |
P137
|
FINISHED |
| Object | professional association |
—
|
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: professional association | Statement: [IRE Fellow, organizationTypeOfConferer, professional association]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationTypeOfConferer Context triple: [IRE Fellow, organizationTypeOfConferer, professional association]
-
A.
organizationTypeOfPresenter
chosen
Indicates that the predicate specifies the type or category of organization to which the presenter belongs or that the presenter represents.
-
B.
parentOrganization
Indicates that one organization is the higher-level or owning entity in an organizational hierarchy relative to another organization.
-
C.
hostsInstitution
Indicates that one entity serves as the hosting location or organizing body for an institution.
-
D.
administeredBy
Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
-
E.
campusType
Indicates the classification or category of a campus based on its type (e.g., main, satellite, urban, rural).
- 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_69a22cde80848190b62c5f556b4d62ba |
completed | Feb. 27, 2026, 11:46 p.m. |
| NER | Named-entity recognition | batch_69a23344daf8819083118bbac5f46568 |
completed | Feb. 28, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69a232e52e7c81909c072703e28e8c61 |
completed | Feb. 28, 2026, 12:12 a.m. |
Created at: Feb. 27, 2026, 11:48 p.m.