Triple
T1326271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of California, Santa Barbara |
E28333
|
entity |
| Predicate | undergraduateEnrollmentApprox |
P3389
|
FINISHED |
| Object | 20000+ |
—
|
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: 20000+ | Statement: [University of California, Santa Barbara, undergraduateEnrollmentApprox, 20000+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergraduateEnrollmentApprox Context triple: [University of California, Santa Barbara, undergraduateEnrollmentApprox, 20000+]
-
A.
undergraduateEnrollment
Indicates the number of undergraduate students enrolled in an institution or program.
-
B.
undergraduatesApprox
chosen
Indicates that the relationship involves an approximate or estimated number of undergraduate students associated with an entity.
-
C.
undergraduateIntakeType
Indicates the specific category or mode by which undergraduate students are admitted or enrolled into an academic program or institution.
-
D.
studentPopulationLevel
Indicates the relative size or magnitude of the student population associated with an entity.
-
E.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19fd2648190932a85eacb3e7ec4 |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beedb49c8190beb5b85cdda05013 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.