Triple
T28470841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-1 |
E720431
|
entity |
| Predicate | hasFrameDuration |
P56006
|
FINISHED |
| Object | 125 microseconds |
—
|
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: 125 microseconds | Statement: [STS-1, hasFrameDuration, 125 microseconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFrameDuration Context triple: [STS-1, hasFrameDuration, 125 microseconds]
-
A.
frameDuration
chosen
Indicates the length of time that a single frame in a sequence (such as video or animation) is displayed before advancing to the next frame.
-
B.
hasDurationType
Indicates that something is associated with a specific kind or category of duration (e.g., temporary, permanent, short-term, long-term).
-
C.
hasFrameFinish
Indicates that an entity’s frame possesses a specific surface treatment or finish.
-
D.
hasDurationCharacteristic
Indicates that something possesses a specific temporal property, such as length, span, or persistence over time.
-
E.
hasFrameType
Indicates that an entity possesses or is associated with a specific type or category of frame.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 2:48 a.m.