Triple
T29424432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Touro University College of Osteopathic Medicine |
E746248
|
entity |
| Predicate | professionalTitleAwarded |
P2680
|
FINISHED |
| Object | osteopathic physician |
—
|
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: osteopathic physician | Statement: [Touro University College of Osteopathic Medicine, professionalTitleAwarded, osteopathic physician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalTitleAwarded Context triple: [Touro University College of Osteopathic Medicine, professionalTitleAwarded, osteopathic physician]
-
A.
overallTitleAwarded
Indicates that an entity has been granted an overall title or top-level award in a given context or competition.
-
B.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
C.
creditedTitle
Indicates that a particular title or role is formally attributed to an entity as a credit.
-
D.
academicTitleOf
Indicates that one entity is the academic title or rank held by another entity.
-
E.
awardsTitle
chosen
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 28, 2026, 3:08 p.m.