Triple
T17890861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quantum |
E447310
|
entity |
| Predicate | knownOperation |
P2336
|
FINISHED |
| Object | Bolivian water supply extortion plot |
—
|
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: Bolivian water supply extortion plot | Statement: [Quantum, knownOperation, Bolivian water supply extortion plot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownOperation Context triple: [Quantum, knownOperation, Bolivian water supply extortion plot]
-
A.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
-
B.
definesOperationsOf
Indicates that one entity specifies or determines the set, nature, or details of operations performed by another entity.
-
C.
famousOperation
chosen
Indicates that an operation is widely recognized or renowned, typically due to its historical, cultural, or technical significance.
-
D.
notableOperationType
Indicates that an entity is associated with a specific type or category of operation that is considered notable or significant.
-
E.
definesOperationOn
Indicates that one entity specifies or establishes the operation that is applied to another entity.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7948888190b59ddc7061d13e84 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:18 a.m.