Triple
T9900811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leones Negros UdeG |
E182274
|
entity |
| Predicate | universityAffiliationType |
P39877
|
FINISHED |
| Object | public university |
—
|
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: public university | Statement: [Leones Negros UdeG, universityAffiliationType, public university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: universityAffiliationType Context triple: [Leones Negros UdeG, universityAffiliationType, public university]
-
A.
universityOrganizationType
chosen
Indicates the specific organizational category or classification of a university (such as public, private, or other institutional type).
-
B.
academicAffiliationOfInstitution
Indicates that an institution is academically affiliated with, or formally connected to, another institution.
-
C.
associatedInstitutionType
Indicates the type or category of institution with which an entity is associated.
-
D.
hasAcademicAffiliation
Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
-
E.
subjectAffiliation
Indicates that a subject is formally associated or connected with a particular organization, group, or 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e0705c8190bd17e36aff615cdd |
completed | April 2, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:40 p.m.