Triple
T3686305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Waubesa |
E78232
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Madison, Wisconsin |
E11896
|
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: Madison, Wisconsin | Statement: [Lake Waubesa, nearCity, Madison, Wisconsin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madison, Wisconsin Context triple: [Lake Waubesa, nearCity, Madison, Wisconsin]
-
A.
Madison, Wisconsin, United States
chosen
Madison, Wisconsin, United States is the capital city of Wisconsin, known for its major research university, vibrant cultural scene, and numerous lakes.
-
B.
Madison
Madison is a suburban city in northern Alabama known for its proximity to Huntsville and its strong schools and residential communities.
-
C.
Madison
Madison is a coastal town in south-central Connecticut known for its beaches, historic New England charm, and popular Hammonasset Beach State Park.
-
D.
Madison
Madison is a common English surname and given name, historically associated with U.S. President James Madison and now widely used as a first name, especially for girls.
-
E.
Madison
Madison is the capital city of Wisconsin, known for its lakes, vibrant university community, and progressive culture.
- 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_69ad85e285a081908f8cbfa9e2ed9b75 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc4c676748190b074abfb9ba43b49 |
completed | March 8, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69badb12b7488190bcd0be87b6278876 |
completed | March 18, 2026, 5:04 p.m. |
Created at: March 8, 2026, 3:26 p.m.