Triple
T14769451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UW |
E347088
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Wisco
Wisco is an informal nickname commonly used to refer to the University of Wisconsin or the state of Wisconsin.
|
E1118773
|
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: Wisco | Statement: [UW, hasVariant, Wisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wisco Context triple: [UW, hasVariant, Wisco]
-
A.
Vilas
Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
-
B.
Comasco
Comasco is a variety of the Lombard language traditionally spoken in and around the city of Como in northern Italy.
-
C.
Durkee
Durkee is a small historic unincorporated community in Baker County, Oregon, that developed as a stage stop and later a railroad and highway point along key transportation routes.
-
D.
Washburn
Washburn is a surname of English origin borne by various notable individuals across politics, industry, academia, and the arts.
-
E.
Owaneco
Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
- 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: Wisco Triple: [UW, hasVariant, Wisco]
Generated description
Wisco is an informal nickname commonly used to refer to the University of Wisconsin or the state of Wisconsin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wisco Target entity description: Wisco is an informal nickname commonly used to refer to the University of Wisconsin or the state of Wisconsin.
-
A.
Vilas
Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
-
B.
Comasco
Comasco is a variety of the Lombard language traditionally spoken in and around the city of Como in northern Italy.
-
C.
Durkee
Durkee is a small historic unincorporated community in Baker County, Oregon, that developed as a stage stop and later a railroad and highway point along key transportation routes.
-
D.
Washburn
Washburn is a surname of English origin borne by various notable individuals across politics, industry, academia, and the arts.
-
E.
Owaneco
Owaneco was a prominent Mohegan sachem (chief) known for his leadership and land dealings in colonial New England during the late 17th and early 18th centuries.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf86730819082cf3f502ec16a46 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1874682881909ff97bca55bea320 |
completed | May 8, 2026, 5:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1918fa988190b8ed746aa6f6f829 |
completed | May 8, 2026, 5:10 p.m. |
Created at: April 10, 2026, 1:30 a.m.