Triple
T32377496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DVR-MS |
E827328
|
entity |
| Predicate | storesStreamType |
P174883
|
FINISHED |
| Object | audio |
—
|
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: audio | Statement: [DVR-MS, storesStreamType, audio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storesStreamType Context triple: [DVR-MS, storesStreamType, audio]
-
A.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
B.
storesDataType
Indicates that an entity is designed to hold, manage, or persist information of a specified data type.
-
C.
streams
Indicates that one entity continuously transmits or delivers data, media, or content in real time to another entity.
-
D.
streamingCategory
Indicates the classification or genre under which a piece of content is organized or presented on a streaming platform.
-
E.
streamingRecord
Indicates that an entity maintains a record or log of streaming activity or streamed content associated with another entity.
- 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 12:51 a.m.