Triple
T13601964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MDCT |
E324964
|
entity |
| Predicate | usedInStandard |
P1587
|
FINISHED |
| Object | Ogg Vorbis |
E920743
|
NE 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: Ogg Vorbis | Statement: [MDCT, usedInStandard, Ogg Vorbis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogg Vorbis Context triple: [MDCT, usedInStandard, Ogg Vorbis]
-
A.
Vorbis
chosen
Vorbis is an open, patent-free audio compression format known for providing high-quality sound at relatively low bitrates.
-
B.
Vorbis
Vorbis is a fanatical and manipulative high priest and inquisitor who serves as the primary antagonist in Terry Pratchett’s Discworld novel "Small Gods."
-
C.
WavPack
WavPack is a free, open-source audio compression format known for offering both lossless and hybrid (lossy+correction) encoding modes.
-
D.
Monkey's Audio
Monkey's Audio is a lossless audio compression format and codec known for its high compression ratios and Windows-focused software tools.
-
E.
OGG
OGG is the IATA airport code for Kahului Airport, the primary commercial airport serving the island of Maui in Hawaii.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f92224c8190b66adef1291cd47f |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.