Triple
T1510707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkansas River region |
E32004
|
entity |
| Predicate | isShapedBy |
P972
|
FINISHED |
| Object | flooding of the Arkansas River |
—
|
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: flooding of the Arkansas River | Statement: [Arkansas River region, isShapedBy, flooding of the Arkansas River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShapedBy Context triple: [Arkansas River region, isShapedBy, flooding of the Arkansas River]
-
A.
shaped
Indicates that one entity has given form, contour, or structure to another entity or outcome.
-
B.
seeksToShape
Indicates an entity’s intention or effort to influence, mold, or determine the form, direction, or outcome of another entity or situation.
-
C.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
D.
formedBy
chosen
Indicates that something comes into existence or is created as a result of a specific agent, process, or combination of components.
-
E.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9396e16408190b5e7b0ac43376d81 |
completed | March 5, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69a907aa67cc81909f00135365447399 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.