Triple
T32470271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Research Park, Salt Lake City |
E829828
|
entity |
| Predicate | hasHigherEducationPartner |
P197268
|
FINISHED |
| Object | University of Utah |
—
|
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: University of Utah | Statement: [Research Park, Salt Lake City, hasHigherEducationPartner, University of Utah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHigherEducationPartner Context triple: [Research Park, Salt Lake City, hasHigherEducationPartner, University of Utah]
-
A.
hasPartnerUniversityInUnitedKingdom
Indicates that an entity has a formal partner university located in the United Kingdom.
-
B.
hasCurrentHigherEducationInstitution
Indicates that a person is presently enrolled in or affiliated with a specific higher education institution.
-
C.
hasHigherEducationHubStatus
Indicates that one entity is designated as having a higher or more advanced education hub status than another entity.
-
D.
hasHigherEducationType
Indicates that one entity has a specified type or category of higher education associated with it.
-
E.
hasFurtherEducationInstitution
Indicates that an entity is associated with, or has access to, a further education institution (such as a college or post-secondary training provider).
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
| PDg | Predicate description generation | batch_69fe831ba4708190a5564afd7d5a4319 |
completed | May 9, 2026, 12:43 a.m. |
Created at: May 1, 2026, 12:57 a.m.