Triple
T2719526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffee County, Alabama |
E60047
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Pea River |
E445727
|
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: Pea River | Statement: [Coffee County, Alabama, hasRiver, Pea River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pea River Context triple: [Coffee County, Alabama, hasRiver, Pea River]
-
A.
Pea River
chosen
Pea River is a tributary of the Choctawhatchee River flowing through southeastern Alabama and the Florida Panhandle, known for its rural landscapes and recreational fishing.
-
B.
Payette River
The Payette River is a major river in western Idaho known for its rugged canyons, whitewater recreation, and contribution to the Snake River watershed.
-
C.
Plenty River
The Plenty River is a waterway in Victoria, Australia, that flows through Melbourne’s northeastern suburbs before joining the Yarra River.
-
D.
Wilga River
The Wilga River is a small river in southern Poland that flows through the Lesser Poland region and passes near the town of Wieliczka before joining the Vistula.
-
E.
Rapid River
Rapid River is a watercourse that serves as one of the tributary rivers flowing into Lake of the Woods in North America.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaaee104819085966bc54d5da9c0 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf219021d081909d814d0dbf564501 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 6, 2026, 9:55 p.m.