Triple
T4280043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Kinesis Data Firehose |
E97124
|
entity |
| Predicate | supportsFormatConversion |
P14329
|
FINISHED |
| Object | JSON to Parquet |
—
|
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: JSON to Parquet | Statement: [Amazon Kinesis Data Firehose, supportsFormatConversion, JSON to Parquet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsFormatConversion Context triple: [Amazon Kinesis Data Firehose, supportsFormatConversion, JSON to Parquet]
-
A.
allowsConversionTo
chosen
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
B.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
-
C.
canImportFormat
Indicates that an entity has the capability to import or read data in a specified format.
-
D.
acceptsConversionFrom
Indicates that one entity can validly receive or handle a conversion from another entity’s type, format, or representation.
-
E.
convertsFrom
Indicates that one entity is transformed or changed into another entity, with the source being the starting form or state.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.