Triple
T21004403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viroqua, Wisconsin, United States |
E517376
|
entity |
| Predicate | stateAbbreviation |
P2461
|
FINISHED |
| Object | WI |
—
|
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: WI | Statement: [Viroqua, Wisconsin, United States, stateAbbreviation, WI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WI Context triple: [Viroqua, Wisconsin, United States, stateAbbreviation, WI]
-
A.
WI
WI is the vehicle registration code used on license plates for the German city of Wiesbaden.
-
B.
WI
WI is the abbreviation for Waterways Ireland, the cross-border body responsible for managing and promoting inland navigable waterways on the island of Ireland.
-
C.
Wisconsin
chosen
Wisconsin is a U.S. state in the Upper Midwest known for its dairy industry, Great Lakes shorelines, and mix of rural landscapes and industrial cities.
-
D.
WA
WA is the commonly used abbreviation for World Archery, the international governing body for the sport of archery.
-
E.
WA
WA is the IATA airline designator assigned to KLM Cityhopper, the regional subsidiary of KLM Royal Dutch Airlines.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3978b0819082b63a98962a673e |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.