Triple
T13894711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speex |
E334057
|
entity |
| Predicate | algorithm |
P21840
|
FINISHED |
| Object | CELP |
E818777
|
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: CELP | Statement: [Speex, algorithm, CELP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CELP Context triple: [Speex, algorithm, CELP]
-
A.
MPEG-4 CELP
chosen
MPEG-4 CELP is an audio coding algorithm that uses code-excited linear prediction to efficiently compress speech within the MPEG-4 multimedia framework.
-
B.
CELC
CELC is an international association of conservative Lutheran church bodies that share a common confessional stance based on the Lutheran Confessions.
-
C.
Versoix
Versoix is a Swiss municipality on the shores of Lake Geneva, known as a residential suburb of Geneva with lakeside promenades and a mix of urban and natural landscapes.
-
D.
Speex
Speex is an open-source, patent-free audio compression codec designed primarily for efficient, high-quality speech encoding.
-
E.
Visible Speech alphabet
The Visible Speech alphabet is a 19th-century phonetic writing system that represents the physical positions and movements of the speech organs to visually depict spoken sounds.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a741908190bdf46d76c5f1411a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71eb1808190b0a3a28a8011e9c7 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.