Triple
T4033616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Joaquín campus |
E83772
|
entity |
| Predicate | hasAcademicActivityType |
P53570
|
FINISHED |
| Object | multidisciplinary |
—
|
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: multidisciplinary | Statement: [San Joaquín campus, hasAcademicActivityType, multidisciplinary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicActivityType Context triple: [San Joaquín campus, hasAcademicActivityType, multidisciplinary]
-
A.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
-
B.
hasAcademicFunction
Indicates that an entity serves a specific academic role, duty, or function within an educational or scholarly context.
-
C.
hasTeachingActivity
Indicates that an entity engages in or is associated with a specific teaching-related activity or instructional role.
-
D.
hasAcademicAssociation
Indicates a relationship where one entity is connected to another through an academic context, such as study, research, teaching, or institutional affiliation.
-
E.
hasResearchActivities
Indicates that an entity engages in, conducts, or is associated with research-related activities.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefa815f2c8190818c9ffd9d1bf478 |
completed | March 9, 2026, 4:51 p.m. |
Created at: March 9, 2026, 3:36 p.m.