Triple
T15276204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chippewa River |
E365146
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Eau Claire River |
E354246
|
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: Eau Claire River | Statement: [Chippewa River, hasTributary, Eau Claire River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eau Claire River Context triple: [Chippewa River, hasTributary, Eau Claire River]
-
A.
Eau Claire River
chosen
The Eau Claire River is a tributary in western Wisconsin that flows through the city of Eau Claire before joining the Chippewa River.
-
B.
La Crosse River
The La Crosse River is a tributary of the Mississippi River in western Wisconsin, flowing through Fort McCoy and the city of La Crosse.
-
C.
Elm River
Elm River is a lesser-known tributary waterway that feeds into the James River within its watershed.
-
D.
Mukwonago River
The Mukwonago River is a biologically rich southeastern Wisconsin waterway renowned for its high water quality and diverse native aquatic species.
-
E.
Waupaca River
The Waupaca River is a river in central Wisconsin known for its clear waters, scenic surroundings, and popularity for canoeing, kayaking, and trout fishing.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00952731c8190bf6a5e6e10c95b94 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46436048190b79d1d18a179617b |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 3:14 a.m.