Triple
T350493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of California, San Francisco |
E7430
|
entity |
| Predicate | isPublicInstitution |
P11109
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [University of California, San Francisco, isPublicInstitution, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPublicInstitution Context triple: [University of California, San Francisco, isPublicInstitution, true]
-
A.
isPublicInstitutionCampus
Indicates that a given campus belongs to or is operated by a public (state- or government-run) institution.
-
B.
isPublicUniversityCampus
Indicates that a given campus belongs to and is operated as part of a public (state- or government-funded) university.
-
C.
hasGovernmentInstitution
Indicates that a given entity possesses, hosts, or is served by a formal governmental body or institution.
-
D.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
E.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb1f028c819098fa6480b4ca5cf0 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e955d1f88190bd687c46fa7c5469 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea60e590819081779a6510918d9b |
completed | Feb. 28, 2026, 1:15 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.