Triple
T4216005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cryptandra |
E94216
|
entity |
| Predicate | hasFlowerSymmetry |
P5981
|
FINISHED |
| Object | radial symmetry |
—
|
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: radial symmetry | Statement: [Cryptandra, hasFlowerSymmetry, radial symmetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlowerSymmetry Context triple: [Cryptandra, hasFlowerSymmetry, radial symmetry]
-
A.
flowerSymmetry
chosen
Indicates the type or pattern of symmetry exhibited by a flower’s structure or arrangement of its parts.
-
B.
petalCount
Indicates the number of petals associated with an entity, typically a flower or floral structure.
-
C.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
D.
hasSpecializedPetal
Indicates that an entity possesses petals that are specialized or modified for a particular function or role.
-
E.
isSymmetrical
Indicates that an object, pattern, or configuration remains unchanged or mirrored when transformed by a symmetry operation such as reflection, rotation, or inversion.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e098da881909a0cc339cc186627 |
completed | March 12, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69b347efd9b08190bb50f82e4e7fe06d |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:04 p.m.