Triple
T5736099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayfield, Wisconsin |
E126506
|
entity |
| Predicate | hasPostalDesignation |
P974
|
FINISHED |
| Object | Bayfield, WI |
E126506
|
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: Bayfield, WI | Statement: [Bayfield, Wisconsin, hasPostalDesignation, Bayfield, WI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayfield, WI Context triple: [Bayfield, Wisconsin, hasPostalDesignation, Bayfield, WI]
-
A.
Bayfield, Wisconsin
chosen
Bayfield, Wisconsin is a small lakeside city on the shores of Lake Superior known as the gateway to the Apostle Islands National Lakeshore.
-
B.
Bayfield
Bayfield is a residential suburb of the historic town of Chepstow in Monmouthshire, Wales.
-
C.
Marshfield, Wisconsin
Marshfield, Wisconsin is a small city in central Wisconsin known historically as a regional agricultural and medical services hub.
-
D.
Marinette, Wisconsin
Marinette, Wisconsin is a small industrial city in northeastern Wisconsin on the shore of Green Bay, known historically for shipbuilding and its location opposite Menominee, Michigan.
-
E.
Chippewa Falls, Wisconsin
Chippewa Falls, Wisconsin is a small city in northwestern Wisconsin known for its historic lumber and brewing industries and its scenic location along the Chippewa River.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025596b5c81909b5626773c91cecb |
completed | March 22, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11ca111188190932a17a2fab097c7 |
completed | March 23, 2026, 10:57 a.m. |
Created at: March 22, 2026, 3:47 p.m.