Triple
T30421803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAL |
E773919
|
entity |
| Predicate | videoStandardType |
P79874
|
FINISHED |
| Object | 625/50 system |
—
|
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: 625/50 system | Statement: [PAL, videoStandardType, 625/50 system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoStandardType Context triple: [PAL, videoStandardType, 625/50 system]
-
A.
videoStandard
chosen
Indicates the video format or broadcasting standard that applies to a given video or recording.
-
B.
videoType
Indicates the classification or category of a video (such as format, genre, or purpose) associated with an entity.
-
C.
digitalStandard
Indicates that one entity defines, specifies, or embodies a recognized digital standard that the other entity follows, implements, or is evaluated against.
-
D.
videoQuality
Indicates the level or standard of clarity, resolution, and overall visual fidelity associated with a given video.
-
E.
standardDefinition
Indicates that something serves as the officially accepted or commonly recognized definition of a term or concept.
- F. None of above.
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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68663d49c81908c44b8cb0f31d014 |
completed | May 2, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:06 p.m.