Triple
T27666661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WAV |
E697244
|
entity |
| Predicate | differenceFromMP3 |
P61682
|
FINISHED |
| Object | WAV is typically uncompressed while MP3 is lossy compressed |
—
|
NE NERFINISHED |
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: WAV is typically uncompressed while MP3 is lossy compressed | Statement: [WAV, differenceFromMP3, WAV is typically uncompressed while MP3 is lossy compressed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromMP3 Context triple: [WAV, differenceFromMP3, WAV is typically uncompressed while MP3 is lossy compressed]
-
A.
hasDifferentMusicFrom
Indicates that two entities have music that is not the same in style, content, or identity.
-
B.
hasPronunciationDifferenceFrom
Indicates that two linguistic items differ in how they are pronounced.
-
C.
isInstrumentalVersionOf
Indicates that one work is a version of another in which the vocal or primary melodic parts have been removed or replaced so that it consists predominantly or entirely of instrumental music.
-
D.
hasNotableMelodicSimilarityTo
Indicates that one musical piece shares a clearly recognizable and significant similarity in melody with another.
-
E.
differIn
chosen
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
- 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f634a401e08190b2144d47f1df15e0 |
completed | May 2, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:38 p.m.