Triple
T35468711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teton River (Idaho) |
E1025149
|
entity |
| Predicate | watershedSupports |
P138695
|
FINISHED |
| Object | agriculture in Teton Valley |
—
|
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: agriculture in Teton Valley | Statement: [Teton River (Idaho), watershedSupports, agriculture in Teton Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watershedSupports Context triple: [Teton River (Idaho), watershedSupports, agriculture in Teton Valley]
-
A.
watercourseSupports
chosen
Indicates that a watercourse provides the necessary conditions or resources to sustain another entity, process, or activity.
-
B.
watershedType
Indicates the classification or category of a watershed associated with an entity (e.g., by hydrologic, ecological, or management type).
-
C.
hasWatershed
Indicates that one geographic area or feature is part of, drains into, or is hydrologically defined by a particular watershed.
-
D.
hasProtectedWatershed
Indicates that an entity possesses or is associated with a watershed area that is legally or formally protected for conservation or resource management purposes.
-
E.
watershedName
Indicates the name assigned to the watershed with which an entity is associated.
- 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_69f76dfa20d0819089585dc2cf653aea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: May 3, 2026, 4:04 p.m.