Triple
T12647529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenango River |
E302066
|
entity |
| Predicate | basinSizeApprox |
P28955
|
FINISHED |
| Object | about 1,000 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: about 1,000 square miles | Statement: [Shenango River, basinSizeApprox, about 1,000 square miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basinSizeApprox Context triple: [Shenango River, basinSizeApprox, about 1,000 square miles]
-
A.
basin
Indicates a geographic area where surface water drains into a common outlet, such as a river, lake, or ocean.
-
B.
basinType
Indicates the specific kind or classification of a basin associated with an entity (e.g., by form, function, or hydrological role).
-
C.
basinPartOf
Indicates that one basin is a component or subdivision of a larger basin or basin system.
-
D.
locatedInBasin
Indicates that one geographical or hydrological feature lies within the drainage or catchment area of a specified basin.
-
E.
drainageAreaApprox
chosen
Indicates that one entity has an approximate drainage area measured or characterized by the other entity.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:17 p.m.