Triple
T24356529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Mary River (via diversion) |
E613937
|
entity |
| Predicate | augments |
P39508
|
FINISHED |
| Object | Milk River |
—
|
NE NERFINISHED |
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: Milk River | Statement: [St. Mary River (via diversion), augments, Milk River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: augments Context triple: [St. Mary River (via diversion), augments, Milk River]
-
A.
enhancedBy
chosen
Indicates that one entity’s value, effectiveness, or impact is increased or improved as a result of another entity.
-
B.
usesDataAugmentation
Indicates that an entity applies data augmentation techniques to modify or expand its dataset during processing or training.
-
C.
canBeAugmentedWith
Indicates that one entity is capable of being enhanced, expanded, or supplemented by another entity.
-
D.
expands
Indicates that one entity increases in size, volume, scope, or extent relative to a previous state or another entity.
-
E.
modulates
Indicates that one entity adjusts, regulates, or alters the intensity, frequency, or effect of another entity or process.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29349ee188190a9d54b2c725b8a27 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.