Triple
T37095702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendall, Wisconsin |
E918553
|
entity |
| Predicate | nearestMajorUrbanAreaRegion |
P186589
|
FINISHED |
| Object | central Wisconsin urban centers |
—
|
LITERAL 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: central Wisconsin urban centers | Statement: [Kendall, Wisconsin, nearestMajorUrbanAreaRegion, central Wisconsin urban centers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorUrbanAreaRegion Context triple: [Kendall, Wisconsin, nearestMajorUrbanAreaRegion, central Wisconsin urban centers]
-
A.
nearestLargeUrbanArea
Indicates that one entity is the closest major city or large urban center to the other entity.
-
B.
nearestMajorTownRegion
chosen
Indicates the region or area associated with the major town that is geographically closest to a given location.
-
C.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
D.
shareMajorCityRegion
Indicates that two entities are associated with the same major city or its surrounding metropolitan region.
-
E.
relatedUrbanArea
Indicates that one urban area is geographically or functionally associated with another urban area, such as being nearby, connected, or part of the same broader metropolitan context.
- F. None of above.
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_69f76e9a48bc8190a3947508d8bca408 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.