Triple
T1027658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chair U |
E22175
|
entity |
| Predicate | hasInstitutionalRole |
P20630
|
FINISHED |
| Object | contributes to regulation of the Spanish language |
—
|
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: contributes to regulation of the Spanish language | Statement: [Chair U, hasInstitutionalRole, contributes to regulation of the Spanish language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInstitutionalRole Context triple: [Chair U, hasInstitutionalRole, contributes to regulation of the Spanish language]
-
A.
hasInstitutionalCharacter
chosen
Indicates that something possesses qualities, status, or attributes associated with a formal institution or institutional framework.
-
B.
hasOrganizationalRole
Indicates that an entity holds a specific role, position, or function within an organization.
-
C.
hasAcademicAffiliation
Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
-
D.
hasEducationalRole
Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
-
E.
hasAcademicOffice
Indicates that an entity maintains or occupies an official academic office or workspace associated with an educational or research institution.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b95d35888190a20593a278175df7 |
completed | March 1, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69a4b7276180819085c6b23501a6a6e0 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.