Triple
T31038824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calanda Dam |
E790925
|
entity |
| Predicate | waterStoredFor |
P20226
|
FINISHED |
| Object | power generation |
—
|
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: power generation | Statement: [Calanda Dam, waterStoredFor, power generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterStoredFor Context triple: [Calanda Dam, waterStoredFor, power generation]
-
A.
usesWaterStorage
Indicates that an entity relies on or incorporates stored water as part of its operation, function, or process.
-
B.
waterStorageOrgan
Indicates that one entity functions as an organ specialized for storing water for another entity.
-
C.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
D.
waterAllocatedTo
chosen
Indicates that a specified amount or portion of water has been designated or assigned for use by a particular entity, location, or purpose.
-
E.
waterPersistence
Indicates how long water remains present or effective in a given context before dissipating, evaporating, or being removed.
- 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_69f224ca2fa881908a3ac5fedf207b90 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 29, 2026, 8:59 p.m.