Triple
T13213353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wisconsin Badgers |
E314546
|
entity |
| Predicate | usesAbbreviation |
P43
|
FINISHED |
| Object | UW |
E347088
|
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: UW | Statement: [Wisconsin Badgers, usesAbbreviation, UW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UW Context triple: [Wisconsin Badgers, usesAbbreviation, UW]
-
A.
UW
UW is the commonly used abbreviation for the University of Warsaw, a major public research university in Poland’s capital city.
-
B.
UW
UW is a leading Canadian public research university known for its strong engineering, computer science, and co-operative education programs.
-
C.
UW
chosen
UW is a common abbreviation for the University of Wisconsin, whose athletic teams are known as the Wisconsin Badgers.
-
D.
UW
UW is the University of Wyoming, a public land-grant research university located in Laramie, Wyoming.
-
E.
UW East Campus
UW East Campus is a section of the University of Washington in Seattle that encompasses academic, research, and support facilities located east of the main campus core.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9f0f148190a0698ef27573c885 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.