Triple
T6026775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wabash River |
E134199
|
entity |
| Predicate | hasWatershedAreaApprox |
P13397
|
FINISHED |
| Object | 33,000 square miles |
—
|
LITERAL 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: 33,000 square miles | Statement: [Wabash River, hasWatershedAreaApprox, 33,000 square miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWatershedAreaApprox Context triple: [Wabash River, hasWatershedAreaApprox, 33,000 square miles]
-
A.
watershedArea
chosen
Indicates the total land area from which surface water drains into a particular water body or point in the drainage system.
-
B.
hasWatershed
Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
-
C.
hasWatershedWith
Indicates that two geographic areas share or are associated with the same watershed or drainage basin.
-
D.
hasAccumulationAreaNear
Indicates that an accumulation area (such as collected material, fluid, or debris) is located in close proximity to a specified reference entity or region.
-
E.
hasWatershedCharacteristic
Indicates that a watershed possesses a specified characteristic, feature, or property.
- F. None of above.
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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560cdc308190b25ca8ecb42c4e4f |
completed | March 22, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.