Triple
T23402837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facultad de Odontología |
E559551
|
entity |
| Predicate | especialidadAcadémica |
P104142
|
FINISHED |
| Object | odontología |
—
|
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: odontología | Statement: [Facultad de Odontología, especialidadAcadémica, odontología]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: especialidadAcadémica Context triple: [Facultad de Odontología, especialidadAcadémica, odontología]
-
A.
subjectSpecialization
Indicates that one subject focuses on, or has expertise in, a particular field, topic, or area of knowledge.
-
B.
housesAcademicDiscipline
Indicates that an entity serves as the location or institutional home where a particular academic discipline is based, organized, or conducted.
-
C.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
-
D.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
E.
institutionSpecialization
chosen
Indicates that an institution focuses on, is dedicated to, or has expertise in a particular field, domain, or area of activity.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e09ccc81909869d2c5f6d68432 |
completed | April 29, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:37 p.m.