Triple
T21769983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UHK |
E537397
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | UHK |
—
|
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: UHK | Statement: [UHK, hasAbbreviation, UHK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UHK Context triple: [UHK, hasAbbreviation, UHK]
-
A.
UHK
chosen
UHK is a public university in Hradec Králové, Czech Republic, offering a range of academic programs and research activities across multiple faculties.
-
B.
UAK
UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
-
C.
UEH
UEH is the French acronym for the State University of Haiti, the country’s main public higher education institution.
-
D.
UoK
UoK is the commonly used abbreviation for the University of Khartoum, a leading public university in Sudan.
-
E.
UH
UH is a major public research university located in Houston, Texas, known for its diverse student body and strong programs in fields such as engineering, business, and the arts.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ad76848190b2c7a05d091b7faf |
completed | April 28, 2026, 4:03 a.m. |
Created at: April 16, 2026, 6:51 p.m.