Triple
T27666693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASF |
E697245
|
entity |
| Predicate | associatedCodecFamily |
P164336
|
FINISHED |
| Object | Windows Media Audio |
—
|
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: Windows Media Audio | Statement: [ASF, associatedCodecFamily, Windows Media Audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCodecFamily Context triple: [ASF, associatedCodecFamily, Windows Media Audio]
-
A.
relatedCodec
Indicates that one entity is associated with or corresponds to another through a shared or compatible codec used for encoding or decoding data.
-
B.
audioCodecFamily
chosen
Indicates the general codec family or standard to which an audio codec belongs.
-
C.
commonlyAssociatedCodec
Indicates that one item is typically linked or paired with a particular codec in common usage or practice.
-
D.
usesCodec
Indicates that one entity employs or relies on a specific codec to encode, decode, or process data.
-
E.
audioCodingType
Indicates the specific method or standard used to encode or compress an audio signal.
- 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_6a0045a7b4c081908e4dedabda7cf790 |
completed | May 10, 2026, 8:45 a.m. |
| PD | Predicate disambiguation | batch_6a0042b148a48190974b173f352e4b7f |
completed | May 10, 2026, 8:32 a.m. |
Created at: April 27, 2026, 2:38 p.m.