Triple
T12206566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accept-Charset |
E290850
|
entity |
| Predicate | qualityFactorRange |
P103782
|
FINISHED |
| Object | 0 to 1 |
—
|
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: 0 to 1 | Statement: [Accept-Charset, qualityFactorRange, 0 to 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualityFactorRange Context triple: [Accept-Charset, qualityFactorRange, 0 to 1]
-
A.
storageQuality
Indicates the degree or standard of how well something is stored, such as its preservation, safety, or suitability for use.
-
B.
typicalMasteringRange
Indicates the usual or standard value range within which a mastering-related parameter (such as level, loudness, or processing amount) is typically set.
-
C.
supportsAudioQuality
Indicates that one entity provides or is compatible with a specified level or type of audio quality for another entity or context.
-
D.
qualityDependsOn
Indicates that the quality or performance of one entity is determined or influenced by the characteristics or state of another entity.
-
E.
offersGradeRange
Indicates that an entity provides educational instruction or services spanning a specified range of grade levels.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d920c3dc9881908c396a4ab34f4836 |
completed | April 10, 2026, 4:09 p.m. |
Created at: April 8, 2026, 9:51 p.m.