Triple
T11580100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tai Solarin University of Education |
E274601
|
entity |
| Predicate | hasRectorOrViceChancellorTitle |
P142
|
FINISHED |
| Object | Vice-Chancellor |
—
|
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: Vice-Chancellor | Statement: [Tai Solarin University of Education, hasRectorOrViceChancellorTitle, Vice-Chancellor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRectorOrViceChancellorTitle Context triple: [Tai Solarin University of Education, hasRectorOrViceChancellorTitle, Vice-Chancellor]
-
A.
hasViceChancellor
chosen
Indicates that one entity serves as the vice chancellor of another entity.
-
B.
principalAndViceChancellor
Indicates that one entity holds the role of principal while also serving as the vice chancellor of an institution in relation to another entity.
-
C.
hasViceChairTitle
Indicates that an entity holds the position or bears the formal title of vice chair in relation to another entity or organization.
-
D.
hasExecutiveHeadTitle
Indicates the official job title held by the person who serves as the executive head of an organization or entity.
-
E.
hasMinisterTitle
Indicates that an entity holds or is associated with a specific ministerial title or office.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904c51b881909e7be84c6f3de79f |
completed | April 10, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.