Triple
T37785651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | heliospheric current sheet |
E941946
|
entity |
| Predicate | hasWarping |
P192691
|
FINISHED |
| Object | ballerina skirt shape |
—
|
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: ballerina skirt shape | Statement: [heliospheric current sheet, hasWarping, ballerina skirt shape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWarping Context triple: [heliospheric current sheet, hasWarping, ballerina skirt shape]
-
A.
hasWarp
Indicates that one entity possesses, is equipped with, or is capable of using a warp or warp-related mechanism in relation to another entity or context.
-
B.
hasWarpFactor
Indicates the warp speed level or factor at which an entity (typically a spacecraft) is traveling or operating.
-
C.
warpCapability
Indicates the ability of an entity to travel or move using warp technology, typically enabling faster-than-normal or faster-than-light transit.
-
D.
hasWarpedDisk
Indicates that an entity possesses a disk that is physically deformed or warped, typically impairing its normal function.
-
E.
warpMaterial
Indicates that one entity alters or distorts the physical properties or structure of another material.
- F. None of above. chosen
Provenance (4 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
| PDg | Predicate description generation | batch_69fd231bdd108190900369e07c854e95 |
completed | May 7, 2026, 11:41 p.m. |
Created at: May 3, 2026, 4:19 p.m.