Triple
T13530114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phaeophyceae |
E323109
|
entity |
| Predicate | chloroplastOrigin |
P110721
|
FINISHED |
| Object | secondary endosymbiosis |
—
|
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: secondary endosymbiosis | Statement: [Phaeophyceae, chloroplastOrigin, secondary endosymbiosis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chloroplastOrigin Context triple: [Phaeophyceae, chloroplastOrigin, secondary endosymbiosis]
-
A.
chloroplastMorphology
Indicates the structural form, shape, and organization of chloroplasts in a cell.
-
B.
photosyntheticOrgan
Indicates that an entity is an organ specialized for performing photosynthesis in an organism.
-
C.
chlorophyllType
Indicates the specific kind or category of chlorophyll associated with or present in an entity.
-
D.
photosyntheticOrganism
Indicates that an organism performs photosynthesis, converting light energy into chemical energy to sustain itself.
-
E.
photosynthesisType
Indicates the specific kind or category of photosynthesis an organism performs (e.g., C3, C4, CAM).
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafba2c308190873efd15dfe26358 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:44 p.m.