Triple
T25426314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monkey's Audio |
E637124
|
entity |
| Predicate | compressionMode |
P159119
|
FINISHED |
| Object | extra high |
—
|
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: extra high | Statement: [Monkey's Audio, compressionMode, extra high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compressionMode Context triple: [Monkey's Audio, compressionMode, extra high]
-
A.
compressionType
Indicates the method or format used to compress data or content in the relationship.
-
B.
compressionFunctionType
Indicates the specific kind or category of compression function applied in a compression process or algorithm.
-
C.
compressionCharacteristic
Indicates how an entity behaves or performs when subjected to compressive forces or pressure.
-
D.
compressionLoss
Indicates that some amount of information, quality, or fidelity is lost as a result of a compression process.
-
E.
compressionGoal
Indicates the target level or outcome of data size reduction that a compression process aims to achieve.
- F. None of above. chosen
Provenance (4 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_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 1:57 p.m.