Triple
T29390094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SD memory card |
E745349
|
entity |
| Predicate | videoSpeedClassMarking |
P167140
|
FINISHED |
| Object | V6 |
—
|
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: V6 | Statement: [SD memory card, videoSpeedClassMarking, V6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoSpeedClassMarking Context triple: [SD memory card, videoSpeedClassMarking, V6]
-
A.
speedClassMarking
chosen
Indicates how an entity is categorized or labeled according to its speed characteristics or performance class.
-
B.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
-
C.
videoStandard
Indicates the video format or broadcasting standard that applies to a given video or recording.
-
D.
recordSpeedCategory
Indicates the classification of an entity’s speed into a predefined category (e.g., slow, normal, fast) based on its recorded speed.
-
E.
speedupType
Indicates the kind or category of performance improvement achieved relative to a baseline.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 2:41 p.m.