Triple
T1496555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of California, Santa Cruz |
E29699
|
entity |
| Predicate | numberOfResidentialColleges |
P28501
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [University of California, Santa Cruz, numberOfResidentialColleges, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfResidentialColleges Context triple: [University of California, Santa Cruz, numberOfResidentialColleges, 10]
-
A.
hasResidentialColleges
Indicates that an institution or organization includes one or more residential colleges as part of its structure or system.
-
B.
numberOfCampuses
Indicates the total count of campuses associated with a given entity.
-
C.
numberOfColleges
Indicates the quantity of colleges associated with a given entity.
-
D.
numberOfFaculties
Indicates the total count of faculties associated with a given entity.
-
E.
isConstituentCollegeOf
Indicates that one educational institution functions as a constituent or affiliated college that forms part of a larger parent university or institution.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6edca248190a90205799b270058 |
completed | March 1, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69a4c48a8cf48190a6ebf8d44a608a06 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c4feea448190b2b5071b28a5b608 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:12 p.m.