Triple
T22194789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPPT |
E548517
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | UPPT |
—
|
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: UPPT | Statement: [UPPT, hasAbbreviation, UPPT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPPT Context triple: [UPPT, hasAbbreviation, UPPT]
-
A.
UPPT
chosen
UPPT is an acronym commonly used to refer to the Uniformed Personnel Performance Team, a group focused on assessing and enhancing the effectiveness of uniformed staff.
-
B.
UPT
UPT is the National Rail station code for Upton railway station in Merseyside, England.
-
C.
UPP
UPP is a reporting mark used by the Union Pacific Railroad to identify certain passenger cars and related rolling stock in its fleet.
-
D.
UP
UP is a leading South African public research university located in Pretoria, known for its comprehensive range of academic programs and strong research output.
-
E.
UP
UP was a major South African political party that dominated the country’s politics for much of the mid-20th century before being displaced by the National Party.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae622ac8190b4fc9e6e4ccd0726 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.