Triple
T37537910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UHDTV2 |
E933254
|
entity |
| Predicate | usesScanningFormat |
P162703
|
FINISHED |
| Object | progressive scan |
—
|
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: progressive scan | Statement: [UHDTV2, usesScanningFormat, progressive scan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesScanningFormat Context triple: [UHDTV2, usesScanningFormat, progressive scan]
-
A.
usesScanningMethod
Indicates that an entity performs or carries out an action by employing a specific scanning method.
-
B.
scanFormat
chosen
Indicates the format or pattern used when scanning or parsing input data.
-
C.
usedFormat
Indicates that one entity employs or applies a particular format or representation in relation to another entity.
-
D.
typicalRecognitionFormat
Indicates the usual or standard format in which something is recognized, identified, or acknowledged.
-
E.
usesFilmFormat
Indicates that one entity employs or is recorded in a particular film format associated with the other entity.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: May 3, 2026, 4:17 p.m.