Triple
T7033359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FLAC |
E163320
|
entity |
| Predicate | supportsBlockSizeRange |
P61205
|
FINISHED |
| Object | 16–65,535 samples |
—
|
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: 16–65,535 samples | Statement: [FLAC, supportsBlockSizeRange, 16–65,535 samples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBlockSizeRange Context triple: [FLAC, supportsBlockSizeRange, 16–65,535 samples]
-
A.
supportedBlockSizes
chosen
Indicates the specific block sizes that an entity is capable of handling or operating with.
-
B.
blockSize
Indicates the size or capacity of a discrete block unit within a larger structure or system.
-
C.
supportsMultiblockAllocation
Indicates that an entity can handle allocating or managing multiple blocks of resources or memory in a single operation.
-
D.
includesSizeRange
Indicates that one entity specifies or covers a particular range of sizes associated with another entity.
-
E.
supportsBitpoolRange
Indicates that one entity is capable of handling or is compatible with a specified range of bitpool values used in an associated encoding or communication process.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:36 p.m.