Triple
T27223581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Navarra |
E681346
|
entity |
| Predicate | hasNotableBusinessSchool |
P196692
|
FINISHED |
| Object | IESE Business School |
—
|
NE NERFINISHED |
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: IESE Business School | Statement: [University of Navarra, hasNotableBusinessSchool, IESE Business School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBusinessSchool Context triple: [University of Navarra, hasNotableBusinessSchool, IESE Business School]
-
A.
hasNotableInstitutionType
Indicates that an entity is associated with, or characterized by, a particular type or category of notable institution.
-
B.
hasNotableCampusType
Indicates that an institution’s campus possesses a specific, noteworthy type or characteristic (e.g., urban, rural, residential) that distinguishes it.
-
C.
notableAlmaMater
Indicates that an educational institution is a particularly significant or distinguished alma mater of a person or entity, beyond merely having attended or graduated.
-
D.
hasNotableCityForEducation
Indicates that a place is recognized for having a city that is particularly prominent or distinguished in the field of education.
-
E.
hasNotableAlumniInstitution
Indicates that an institution is associated with one or more notable alumni who previously attended or graduated from it.
- 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_69eefac9f64c8190a07490fe0c8b72a3 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
| PDg | Predicate description generation | batch_69fe629a8d4c8190b4aa4dee39efc0a6 |
completed | May 8, 2026, 10:24 p.m. |
Created at: April 27, 2026, 9:43 a.m.