Triple
T21531321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Puerto Rico |
E531236
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UPR |
—
|
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: UPR | Statement: [University of Puerto Rico, abbreviation, UPR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPR Context triple: [University of Puerto Rico, abbreviation, UPR]
-
A.
UPG
UPG is the IATA airport code for Sultan Hasanuddin International Airport serving Makassar in South Sulawesi, Indonesia.
-
B.
UPR-MSC
chosen
UPR-MSC is the University of Puerto Rico’s main academic health sciences campus, encompassing schools of medicine and related health professions in San Juan.
-
C.
UBPR
UBPR is a standardized financial analysis report used by U.S. banking regulators and institutions to evaluate and compare the performance and condition of individual banks.
-
D.
UPT
UPT is the National Rail station code for Upton railway station in Merseyside, England.
-
E.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d08ebf881909574e098404f93fa |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.