Triple
T5925837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illinois River |
E131807
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Kankakee River |
E418057
|
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: Kankakee River | Statement: [Illinois River, hasTributary, Kankakee River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kankakee River Context triple: [Illinois River, hasTributary, Kankakee River]
-
A.
Kankakee River
chosen
The Kankakee River is a Midwestern U.S. river known for its historically extensive wetlands, recreational opportunities, and role as a tributary of the Illinois River.
-
B.
Maquoketa River
The Maquoketa River is a tributary of the Mississippi River in eastern Iowa, known for its scenic bluffs, recreational opportunities, and role in draining a largely rural agricultural watershed.
-
C.
Wabash Creek
Wabash Creek is a small stream in Pennsylvania that serves as a tributary within the Little Schuylkill River watershed.
-
D.
Leaf River
Leaf River is a river in southeastern Mississippi that flows through cities such as Hattiesburg before joining the Pascagoula River system.
-
E.
Rock River
Rock River is a tributary of the Big Sioux River flowing through parts of Iowa and South Dakota in the United States.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038542e548190b335df9a948c8490 |
completed | March 22, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1412fcc84819084be2f6210a00fb0 |
completed | March 23, 2026, 1:33 p.m. |
Created at: March 22, 2026, 4 p.m.