Triple
T14169317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogle County |
E351163
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Rock River |
E319574
|
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: Rock River | Statement: [Ogle County, locatedOnRiver, Rock River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rock River Context triple: [Ogle County, locatedOnRiver, Rock River]
-
A.
Rock River
Rock River is a tributary of the Big Sioux River flowing through parts of Iowa and South Dakota in the United States.
-
B.
Rock River
chosen
Rock River is a major waterway in the Midwestern United States that flows through Wisconsin and Illinois before joining the Mississippi River.
-
C.
Iller River
The Iller River is a tributary of the Danube in southern Germany, flowing through the Allgäu region and forming part of the border between Bavaria and Baden-Württemberg.
-
D.
Kickapoo River
The Kickapoo River is a winding river in southwestern Wisconsin known for its scenic valleys, recreational paddling, and relatively undisturbed natural landscapes.
-
E.
Leaf River
Leaf River is a river in southeastern Mississippi that flows through cities such as Hattiesburg before joining the Pascagoula River system.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7cccd548190b9ec93f9d9d2f2af |
completed | May 9, 2026, 4:27 a.m. |
Created at: April 10, 2026, 1 a.m.