Triple
T17838738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umatilla River |
E445462
|
entity |
| Predicate | watershedUsedFor |
P25275
|
FINISHED |
| Object | irrigated crop production |
—
|
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: irrigated crop production | Statement: [Umatilla River, watershedUsedFor, irrigated crop production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watershedUsedFor Context triple: [Umatilla River, watershedUsedFor, irrigated crop production]
-
A.
watershedName
Indicates the name assigned to the watershed with which an entity is associated.
-
B.
hasWatershedUse
chosen
Indicates that a particular type of use, activity, or function is associated with or applied to a watershed.
-
C.
watershedType
Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
-
D.
basinUse
Indicates that a basin is used for a particular purpose, activity, or function.
-
E.
waterbodyUsedFor
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d29830c81909fa3ef5a352921b8 |
completed | April 19, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:16 a.m.