Triple
T1571620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of West Florida |
E33552
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
UWF
UWF is a public university in Pensacola, Florida, offering undergraduate and graduate programs across a range of disciplines.
|
E179253
|
NE FINISHED |
How this triple was built (4 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: UWF | Statement: [University of West Florida, abbreviation, UWF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UWF Context triple: [University of West Florida, abbreviation, UWF]
-
A.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
B.
WAFU
WAFU is the West African Football Union, a regional governing body for football in West Africa under the Confederation of African Football.
-
C.
UF
UF is a major public research university located in Gainesville, Florida, known for its strong academic programs and prominent athletic teams, the Florida Gators.
-
D.
UVA
UVA is the University of Virginia, a major public research university in Charlottesville known for its strong academics and NCAA Division I athletic programs.
-
E.
WUG
WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UWF Triple: [University of West Florida, abbreviation, UWF]
Generated description
UWF is a public university in Pensacola, Florida, offering undergraduate and graduate programs across a range of disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UWF Target entity description: UWF is a public university in Pensacola, Florida, offering undergraduate and graduate programs across a range of disciplines.
-
A.
WU
WU is a leading European university in Vienna specializing in economics, business, and social sciences.
-
B.
WAFU
WAFU is the West African Football Union, a regional governing body for football in West Africa under the Confederation of African Football.
-
C.
UF
UF is a major public research university located in Gainesville, Florida, known for its strong academic programs and prominent athletic teams, the Florida Gators.
-
D.
UVA
UVA is the University of Virginia, a major public research university in Charlottesville known for its strong academics and NCAA Division I athletic programs.
-
E.
WUG
WUG is the vehicle registration code for the Weißenburg-Gunzenhausen district in Middle Franconia, Bavaria, Germany.
- F. None of above. chosen
Provenance (5 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908ba6a4081909f75faf470c53d86 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad40263ef08190a968f6c822b5d483 |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad40cb84d081908c6e1651989de716 |
completed | March 8, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad41b1192c81909b89013d8296fd22 |
completed | March 8, 2026, 9:30 a.m. |
Created at: March 4, 2026, 7:27 p.m.