Triple
T1863405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milwaukee River |
E34865
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Menomonee River |
E122698
|
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: Menomonee River | Statement: [Milwaukee River, hasTributary, Menomonee River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menomonee River Context triple: [Milwaukee River, hasTributary, Menomonee River]
-
A.
Menomonee River
chosen
The Menomonee River is a tributary in southeastern Wisconsin that flows through the Milwaukee area before emptying into Lake Michigan.
-
B.
Mukwonago River
The Mukwonago River is a biologically rich southeastern Wisconsin waterway renowned for its high water quality and diverse native aquatic species.
-
C.
Manitowoc River
The Manitowoc River is a river in eastern Wisconsin that flows through Manitowoc County and empties into Lake Michigan at the city of Manitowoc.
-
D.
Milwaukee River
The Milwaukee River is a river in southeastern Wisconsin that flows through the city of Milwaukee before emptying into Lake Michigan.
-
E.
Elkhart River
The Elkhart River is a river in northern Indiana that flows through several counties before joining the St. Joseph River, contributing to the watershed that ultimately drains into Lake Michigan.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb09f856c8190807a7cf2a5f49fcb |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af174f97248190817a64dfbf98c360 |
completed | March 9, 2026, 6:54 p.m. |
Created at: March 4, 2026, 7:34 p.m.