Triple
T25426215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALAC |
E637122
|
entity |
| Predicate | losslessComparedTo |
P74588
|
FINISHED |
| Object | uncompressed PCM audio |
—
|
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: uncompressed PCM audio | Statement: [ALAC, losslessComparedTo, uncompressed PCM audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: losslessComparedTo Context triple: [ALAC, losslessComparedTo, uncompressed PCM audio]
-
A.
isLossless
chosen
Indicates that a transformation, compression, or process preserves all original information without any loss of data.
-
B.
compressionLoss
Indicates that some amount of information, quality, or fidelity is lost as a result of a compression process.
-
C.
isComparedTo
Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
-
D.
hasGreaterNoiseReductionThan
Indicates that one entity provides a higher level of noise reduction compared to another entity.
-
E.
hasComparison
Indicates that one entity is being evaluated or contrasted relative to another entity based on some shared attribute or criterion.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bfdb748190abfd40ed1838d9aa |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:57 p.m.