Triple
T21318096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shasta River |
E525530
|
entity |
| Predicate | hasLowFlowIssue |
P26834
|
FINISHED |
| Object | late-summer low flows |
—
|
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: late-summer low flows | Statement: [Shasta River, hasLowFlowIssue, late-summer low flows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowFlowIssue Context triple: [Shasta River, hasLowFlowIssue, late-summer low flows]
-
A.
hasLowestFlowMonths
Indicates that the related months are those during which the flow (e.g., of water, traffic, or another quantity) reaches its minimum levels for the given entity or period.
-
B.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
C.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
D.
hasWaterManagementIssue
chosen
Indicates that an entity experiences problems or challenges related to the control, distribution, quality, or availability of water.
-
E.
typicalLowFlowSeason
Indicates the season during which a river or water body characteristically experiences its lowest flow levels.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ece1c348190aaa9c52474b57b2f |
completed | April 21, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:36 p.m.