Triple
T3679801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Monona |
E78082
|
entity |
| Predicate | hasShoreline |
P6651
|
FINISHED |
| Object | City of Madison |
E369510
|
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: City of Madison | Statement: [Lake Monona, hasShoreline, City of Madison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Madison Context triple: [Lake Monona, hasShoreline, 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.
Racine
Racine is a city in southeastern Wisconsin located on the shore of Lake Michigan, known historically for its manufacturing industry and Danish kringle pastries.
-
E.
Racine
Racine is a Chicago Transit Authority Blue Line rapid transit station serving the Near West Side of Chicago.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49039308190b33082e2b58aa5cf |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4c189208190b387c2f504047a35 |
completed | March 14, 2026, 10:44 p.m. |
Created at: March 8, 2026, 3:25 p.m.