Triple
T12370092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progressive GAN |
E294977
|
entity |
| Predicate | trainingStartsFrom |
P88969
|
FINISHED |
| Object | low-resolution images |
—
|
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: low-resolution images | Statement: [Progressive GAN, trainingStartsFrom, low-resolution images]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingStartsFrom Context triple: [Progressive GAN, trainingStartsFrom, low-resolution images]
-
A.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
B.
trainingProvidedAt
Indicates that a training activity or program is conducted or delivered at a specific location or venue.
-
C.
trainingStartState
chosen
Indicates the initial condition or status of an entity at the moment a training process begins.
-
D.
educationStartTime
Indicates the point in time when an educational activity, program, or enrollment for an entity begins.
-
E.
typicalStartPeriod
Indicates the usual or standard time period during which something begins or is initiated.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.