Triple
T24794710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPR-MSC |
E620345
|
entity |
| Predicate | isMainHealthSciencesCampusOf |
P105557
|
FINISHED |
| Object | University of Puerto Rico |
—
|
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 Puerto Rico | Statement: [UPR-MSC, isMainHealthSciencesCampusOf, University of Puerto Rico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainHealthSciencesCampusOf Context triple: [UPR-MSC, isMainHealthSciencesCampusOf, University of Puerto Rico]
-
A.
hasClinicalCampus
Indicates that one institution serves as a clinical training campus or site for another institution, typically for educational or healthcare-related activities.
-
B.
hasMainCampus
Indicates that an educational institution is primarily based at or chiefly associated with a particular campus location.
-
C.
otherMainCampus
Indicates that an institution has an additional primary campus distinct from its main campus.
-
D.
hasFlagshipCampusOf
Indicates that one location serves as the primary or main campus for a particular institution or organization.
-
E.
isMajorCampusFor
chosen
Indicates that a particular campus serves as the primary or main campus for a given institution or organization.
- 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_69e2fabe77c8819085f7ce6486248139 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f41105cc388190aba8267b0bf56354 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:48 a.m.