Triple
T16101277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Academy of Sciences awards program |
E390625
|
entity |
| Predicate | includesMonetaryComponent |
P20937
|
FINISHED |
| Object | some awards |
—
|
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: some awards | Statement: [National Academy of Sciences awards program, includesMonetaryComponent, some awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMonetaryComponent Context triple: [National Academy of Sciences awards program, includesMonetaryComponent, some awards]
-
A.
hasMonetaryComponent
chosen
Indicates that something includes, involves, or is associated with a monetary or financial element.
-
B.
monetaryComponent
Indicates that something is a financial element or part of a larger monetary value, structure, or transaction.
-
C.
monetaryValue
Indicates the amount of money associated with an entity, event, or transaction.
-
D.
usesSupplementaryCurrency
Indicates that an entity employs an additional, non-primary currency alongside its main currency for transactions or value exchange.
-
E.
includesDenomination
Indicates that one entity contains, comprises, or explicitly specifies a particular denomination as part of its definition or composition.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff68686481909517eed4266729ca |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.