Triple
T14758181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langlade County, Wisconsin |
E346785
|
entity |
| Predicate | ISOCode |
P208
|
FINISHED |
| Object | US-WI |
E16627
|
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: US-WI | Statement: [Langlade County, Wisconsin, ISOCode, US-WI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US-WI Context triple: [Langlade County, Wisconsin, ISOCode, US-WI]
-
A.
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.
-
B.
US-MN
US-MN is the postal abbreviation for the U.S. state of Minnesota.
-
C.
WI
WI is the vehicle registration code used on license plates for the German city of Wiesbaden.
-
D.
W.D. Wis.
W.D. Wis. is the standard legal abbreviation for the United States District Court for the Western District of Wisconsin, a federal trial court within the Seventh Circuit.
-
E.
western Wisconsin
Western Wisconsin is a region of the U.S. state of Wisconsin characterized by its rolling hills, river valleys along the Mississippi, and a mix of small cities, college towns, and rural communities.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ced0e2c8190a13e3b43e4d35560 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.