Triple
T28582868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zephyr |
E723423
|
entity |
| Predicate | hasSmallFootprint |
P141032
|
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: [Zephyr, hasSmallFootprint, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmallFootprint Context triple: [Zephyr, hasSmallFootprint, true]
-
A.
isSmallScale
Indicates that the related activity, operation, or entity occurs on a limited or minor scale, involving relatively small size, scope, or capacity.
-
B.
hasPhysicalFootprint
Indicates that one entity occupies or affects a specific physical area or space in the real world.
-
C.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
D.
isLowImpact
chosen
Indicates that an action, event, or entity has minimal negative effect or disruption on its surrounding system, environment, or context.
-
E.
hasMiniature
Indicates that one entity possesses or includes a smaller-scale representation or model of another entity.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f650cd6ee08190a5c05f83e4b95896 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 4:16 a.m.