Triple
T33278399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UCO |
E851967
|
entity |
| Predicate | hasCampusPresence |
P166253
|
FINISHED |
| Object | UC Santa Cruz |
—
|
NE NERFINISHED |
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: UC Santa Cruz | Statement: [UCO, hasCampusPresence, UC Santa Cruz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCampusPresence Context triple: [UCO, hasCampusPresence, UC Santa Cruz]
-
A.
hasHumanPresence
Indicates that humans are physically present in or occupying a given location, object, or context.
-
B.
hasCampusCharacter
Indicates that an institution possesses a particular overall campus atmosphere, style, or defining quality.
-
C.
hasPhysicalPresence
Indicates that an entity exists or manifests in a tangible, spatially located form within the physical world.
-
D.
hasSurfaceCampus
Indicates that one entity (typically an institution) maintains a physical campus or site located on the surface of another entity (such as a planet or celestial body).
-
E.
universityPresence
chosen
Indicates that a university exists, operates, or maintains a significant presence at a given location or within a specified area.
- 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_69f349653da08190819876015a298fdb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: May 1, 2026, 1:32 a.m.