Triple
T12584092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Helsinki |
E300410
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UH |
E300410
|
NE FINISHED |
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: UH | Statement: [University of Helsinki, abbreviation, UH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UH Context triple: [University of Helsinki, abbreviation, UH]
-
A.
UH
chosen
UH is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
-
B.
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.
-
C.
UW
UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
-
D.
UW
UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
-
E.
UW
UW is the University of Wyoming, a public land-grant research university located in Laramie, Wyoming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bac9708190ad8f277e7751bf5c |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebcfca8819083c26a3d5f94ccdf |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:03 p.m.