Triple
T24378463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-American Canal |
E614541
|
entity |
| Predicate | waterRightFrom |
P4102
|
FINISHED |
| Object | Colorado River Compact allocations |
—
|
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: Colorado River Compact allocations | Statement: [All-American Canal, waterRightFrom, Colorado River Compact allocations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterRightFrom Context triple: [All-American Canal, waterRightFrom, Colorado River Compact allocations]
-
A.
waterRight
Indicates a legal or recognized entitlement that one party has to use or access water from a particular source under specified conditions.
-
B.
hasWaterRightsSystem
Indicates that an entity possesses or is governed by a defined system regulating legal rights to use water resources.
-
C.
waterSource
chosen
Indicates that one entity serves as the source or provider of water for another entity.
-
D.
settlesWaterRightsOf
Indicates that one party resolves or determines the allocation or ownership of water usage rights involving another party.
-
E.
waterSourceAfter
Indicates that one water source occurs, appears, or is accessed after another in time or sequence.
- 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293d96e7c8190b2f33a8fd12c32c6 |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:02 a.m.