Triple
T32061900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HLS |
E818767
|
entity |
| Predicate | segmentFormat |
P173165
|
FINISHED |
| Object | MPEG-TS |
—
|
NE NERFINISHED |
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: MPEG-TS | Statement: [HLS, segmentFormat, MPEG-TS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: segmentFormat Context triple: [HLS, segmentFormat, MPEG-TS]
-
A.
selectionFormat
Indicates the specific structure or style in which a selection or choice is represented or presented.
-
B.
secondPartFormat
Indicates that the entity represents the format or structure of the second part or segment of a larger item or sequence.
-
C.
formatPartOf
Indicates that one entity functions as a component or segment within the overall structure or composition of another entity.
-
D.
segmentBy
Indicates dividing something into distinct parts or sections based on a specified criterion or boundary.
-
E.
segmentStructure
Indicates that one entity represents a structural or organizational subdivision (a segment) within the overall structure of 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4f638908190957f64096c07535f |
completed | May 3, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b267b90c8190807208cadce5ae8d |
completed | May 3, 2026, 2:26 a.m. |
Created at: May 1, 2026, 12:22 a.m.