Triple
T21768563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pick-Sloan Missouri Basin Program |
E537360
|
entity |
| Predicate | affectsGroup |
P116676
|
FINISHED |
| Object | tribal nations in the Missouri River Basin |
—
|
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: tribal nations in the Missouri River Basin | Statement: [Pick-Sloan Missouri Basin Program, affectsGroup, tribal nations in the Missouri River Basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsGroup Context triple: [Pick-Sloan Missouri Basin Program, affectsGroup, tribal nations in the Missouri River Basin]
-
A.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
B.
alsoAffects
Indicates that an action, condition, or change impacting one entity additionally impacts another entity as well.
-
C.
impactedGroup
chosen
Indicates the group or population that is affected or influenced by a particular action, event, or condition.
-
D.
affectsRelationshipBetween
Indicates that one entity causes a change or influence on the nature, quality, or status of the relationship between two or more other entities.
-
E.
affectsProgram
Indicates that one entity produces an influence or change on a program, altering its behavior, state, or outcome.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ac10808190837a0f69c4f8a02d |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.