Triple
T23082051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platteville, Wisconsin |
E575500
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Platteville |
—
|
NE NERFINISHED |
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: Platteville | Statement: [Platteville, Wisconsin, hasNickname, Platteville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Platteville Context triple: [Platteville, Wisconsin, hasNickname, Platteville]
-
A.
Platteville, Wisconsin
chosen
Platteville, Wisconsin is a small city in southwestern Wisconsin known for the University of Wisconsin–Platteville and its strong college basketball tradition.
-
B.
Plattville
Plattville is a small village located in Kendall County, Illinois, United States.
-
C.
Janesville
Janesville is a small unincorporated community in northeastern California known for its rural character and proximity to the Sierra Nevada and Lassen National Forest.
-
D.
Janesville
Janesville is a city in southern Wisconsin known as an industrial and commercial hub along the Rock River.
-
E.
Burlington, Wisconsin
Burlington, Wisconsin is a small city in southeastern Wisconsin known for its historic downtown, chocolate festival, and location along the Fox River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da239e48190ad041261c6b510a0 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:56 p.m.