Triple
T18070235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warner Park Beach |
E432405
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | City of Madison |
—
|
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: City of Madison | Statement: [Warner Park Beach, ownedBy, City of Madison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Madison Context triple: [Warner Park Beach, ownedBy, City of Madison]
-
A.
City of Madison
chosen
The City of Madison is the capital of Wisconsin, known for its lakeside setting, major public university, and vibrant civic and cultural life.
-
B.
Fort Madison
Fort Madison is a historic riverfront city in southeastern Iowa known for its Mississippi River port, 19th-century military fort heritage, and role as a regional transportation hub.
-
C.
City of Wauwatosa
The City of Wauwatosa is a suburban municipality in southeastern Wisconsin known for its residential neighborhoods, commercial districts, and proximity to Milwaukee.
-
D.
Springfield, Wisconsin
Springfield, Wisconsin is a small rural town in Dane County known for its agricultural landscape and proximity to the Madison metropolitan area.
-
E.
Racine
Racine is a small city located in southeastern Minnesota in the United States.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cced29fc81908e87b4f1990fa0d8 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.