Triple
T22470850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacoma, Wisconsin |
E555493
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Tacoma, Wisconsin |
E555493
|
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: Tacoma, Wisconsin | Statement: [Tacoma, Wisconsin, hasName, Tacoma, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tacoma, Wisconsin Context triple: [Tacoma, Wisconsin, hasName, Tacoma, Wisconsin]
-
A.
Tacoma, Wisconsin
chosen
Tacoma, Wisconsin is a small unincorporated community located within Fond du Lac County in the U.S. state of Wisconsin.
-
B.
Tomahawk, Wisconsin
Tomahawk, Wisconsin is a small city in northern Wisconsin known for its outdoor recreation, lakes, and annual fall motorcycle rally.
-
C.
Watertown, Wisconsin
Watertown, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, riverside setting, and early German-American heritage.
-
D.
Trempealeau, Wisconsin
Trempealeau, Wisconsin is a small village along the Mississippi River known for its scenic bluffs, outdoor recreation, and proximity to Perrot State Park.
-
E.
Waupaca, Wisconsin
Waupaca, Wisconsin is a small city in central Wisconsin known for its Chain O’ Lakes, outdoor recreation, and role as a regional service and tourism center.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15bdf6dfc8190aa8dc80ad92a9267 |
completed | April 29, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b12585c348190b78d051b0fc21983 |
completed | May 18, 2026, 1:21 p.m. |
Created at: April 16, 2026, 8:48 p.m.