Triple
T27071802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncompahgre Valley |
E685346
|
entity |
| Predicate | irrigationProject |
P39313
|
FINISHED |
| Object | Uncompahgre Project |
—
|
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: Uncompahgre Project | Statement: [Uncompahgre Valley, irrigationProject, Uncompahgre Project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: irrigationProject Context triple: [Uncompahgre Valley, irrigationProject, Uncompahgre Project]
-
A.
irrigationProjectIn
chosen
Indicates that an irrigation project is located within or implemented in a specified geographic or administrative area.
-
B.
nearIrrigationProject
Indicates that one entity is located close to or in the vicinity of an irrigation project.
-
C.
irrigationScheme
Indicates that one entity is part of, served by, or associated with a particular irrigation scheme or system for water distribution.
-
D.
usedIrrigation
Indicates that an entity applied or employed an irrigation system or method to supply water to land or crops.
-
E.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6231257f481909d576c19559e0ad0 |
completed | May 2, 2026, 4:15 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:28 a.m.