Triple
T18387103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Missouri River (Arkansas) |
E446618
|
entity |
| Predicate | hasFlowCharacteristic |
P8240
|
FINISHED |
| Object | seasonally variable flow |
—
|
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: seasonally variable flow | Statement: [Little Missouri River (Arkansas), hasFlowCharacteristic, seasonally variable flow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlowCharacteristic Context triple: [Little Missouri River (Arkansas), hasFlowCharacteristic, seasonally variable flow]
-
A.
hasFlowRegime
chosen
Indicates that one entity is characterized by, or operates under, a particular pattern or regime of flow.
-
B.
hasDirectionOfFlow
Indicates that something moves or is transmitted from one entity or location toward another along a specific path or orientation.
-
C.
hasLiquidityCharacteristic
Indicates that one entity possesses or is associated with a particular liquidity-related property or feature in relation to another entity.
-
D.
hasRiverineCharacteristic
Indicates that something possesses qualities, features, or conditions associated with rivers or river environments.
-
E.
hasFlowType
Indicates the type or category of flow associated with or exhibited by an 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e517a114c08190af1be1ae52c83b63 |
completed | April 19, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.