Triple
T28859449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fornicata |
E728819
|
entity |
| Predicate | cellSymmetry |
P165670
|
FINISHED |
| Object | often bilaterally symmetrical cells |
—
|
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: often bilaterally symmetrical cells | Statement: [Fornicata, cellSymmetry, often bilaterally symmetrical cells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellSymmetry Context triple: [Fornicata, cellSymmetry, often bilaterally symmetrical cells]
-
A.
localSymmetry
Indicates that an entity exhibits symmetry within a localized region or subset of its structure, rather than across its entire extent.
-
B.
symmetryOf
Indicates that one entity is the symmetry counterpart or symmetric form of another entity, typically related by a specific symmetry operation or transformation.
-
C.
cellArrangement
Indicates how cells are organized or positioned relative to each other within a structure or system.
-
D.
cellStructure
Indicates the structural organization, components, and physical arrangement that make up a cell.
-
E.
symmetryInvolved
Indicates that a relationship or action inherently involves symmetry, such as invariance under certain transformations or the presence of symmetric structure or behavior.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65a15e4c48190bcba6a5e930e2a9e |
completed | May 2, 2026, 8:09 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:46 a.m.