Triple
T14950664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Wisconsin–Oshkosh |
E372783
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Oshkosh |
E388756
|
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: Oshkosh | Statement: [University of Wisconsin–Oshkosh, city, Oshkosh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oshkosh Context triple: [University of Wisconsin–Oshkosh, city, Oshkosh]
-
A.
Oshkosh, Wisconsin
chosen
Oshkosh, Wisconsin is a city on the western shore of Lake Winnebago known for its historic manufacturing industry, the EAA AirVenture aviation festival, and its namesake OshKosh B’gosh clothing brand.
-
B.
Rock Island
Rock Island is a small, remote island in Lake Michigan known for its state park, historic lighthouse, and rustic natural setting accessible only by boat.
-
C.
Rock Island
Rock Island is a small city in central Washington State located along the Columbia River in Douglas County.
-
D.
Manitowoc
Manitowoc is a city in eastern Wisconsin on the shores of Lake Michigan, known historically for its shipbuilding and manufacturing industries.
-
E.
Cudahy
Cudahy is a small, densely populated city in southeastern Los Angeles County, California, known for its predominantly Latino community and urban residential character.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68fae3c81909873b113bfcaca05 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e986dfc8190a5cf363dabe6bdef |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.