Triple
T35400436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASU-57 |
E1023210
|
entity |
| Predicate | designedToBeLightweight |
P33279
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ASU-57, designedToBeLightweight, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToBeLightweight Context triple: [ASU-57, designedToBeLightweight, true]
-
A.
isLightweight
chosen
Indicates that an entity has a relatively low weight or mass compared to typical or alternative entities.
-
B.
lightweightComponents
Indicates that the components involved are designed to be low in weight or resource usage relative to typical or alternative components.
-
C.
hasSmallMemoryFootprint
Indicates that something requires only a small amount of memory resources to operate or be stored.
-
D.
isLowImpact
Indicates that an action, event, or entity has minimal negative effect or disruption on its surrounding system, environment, or context.
-
E.
designedToAvoid
Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
Created at: May 3, 2026, 4:03 p.m.