Triple
T1708095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manitowoc River |
E36915
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Manitowoc |
E193487
|
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: Manitowoc | Statement: [Manitowoc River, flowsThrough, Manitowoc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manitowoc Context triple: [Manitowoc River, flowsThrough, Manitowoc]
-
A.
Manitowoc
chosen
Manitowoc is a city in eastern Wisconsin on the shores of Lake Michigan, known historically for its shipbuilding and manufacturing industries.
-
B.
Calumet Harbor
Calumet Harbor is a commercial and industrial harbor on the southwest shore of Lake Michigan that serves as a key shipping and transportation hub for the Chicago region.
-
C.
River Rouge
River Rouge is a river in southeastern Michigan that flows through the Detroit metropolitan area and has historically been central to the region’s industrial development.
-
D.
Hartland
Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
-
E.
Milwaukee
Milwaukee is the largest city in Wisconsin, known for its brewing traditions, industrial history, and location on the western shore of 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa63118618819085700fa84e362d60 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0cf5a3481908434c725e85360a2 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 4, 2026, 7:30 p.m.