Triple
T303335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoover Dam |
E6243
|
entity |
| Predicate | waterManagementRole |
P4362
|
FINISHED |
| Object | regulates Colorado River 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: regulates Colorado River flows | Statement: [Hoover Dam, waterManagementRole, regulates Colorado River flows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterManagementRole Context triple: [Hoover Dam, waterManagementRole, regulates Colorado River flows]
-
A.
waterInfrastructure
Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
-
B.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
C.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
D.
hasWaterBalance
Indicates that an entity maintains or exhibits a particular state or condition of water balance, such as hydration level or equilibrium between water intake and loss.
-
E.
hasHydrologicalFunction
chosen
Indicates that something performs a role or action related to the movement, storage, or regulation of water within a hydrological system.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea2fba548190a5aeb1597dca96bd |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e93c367881908d3f6e2b81d44d7f |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.