Triple
T32283070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakthrough Junior Challenge |
E824751
|
entity |
| Predicate | videoLengthRequirement |
P19791
|
FINISHED |
| Object | up to 3 minutes |
—
|
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: up to 3 minutes | Statement: [Breakthrough Junior Challenge, videoLengthRequirement, up to 3 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoLengthRequirement Context triple: [Breakthrough Junior Challenge, videoLengthRequirement, up to 3 minutes]
-
A.
supportsVideoLengthRange
Indicates that an entity is compatible with or allows videos whose durations fall within a specified minimum-to-maximum time range.
-
B.
maximumVideoLength
chosen
Indicates the greatest allowable or supported duration for a video in this context.
-
C.
musicVideoLength
Indicates the duration or running time of a music video.
-
D.
timeSpanOfFootage
Indicates the duration of time covered by a given piece of footage.
-
E.
playingTimeMinutesMinimum
Indicates the minimum number of minutes an entity must be played or has been played.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 12:43 a.m.