Triple
T36827375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirogyra |
E910046
|
entity |
| Predicate | chloroplastType |
P97700
|
FINISHED |
| Object | ribbon-shaped chloroplast |
—
|
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: ribbon-shaped chloroplast | Statement: [Spirogyra, chloroplastType, ribbon-shaped chloroplast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chloroplastType Context triple: [Spirogyra, chloroplastType, ribbon-shaped chloroplast]
-
A.
plastidsType
Indicates the specific kind or category of plastids associated with an entity.
-
B.
chlorophyllType
Indicates the specific kind or category of chlorophyll associated with or present in an entity.
-
C.
chloroplastMorphology
chosen
Indicates the structural form, shape, and organization of chloroplasts in a cell.
-
D.
photosynthesisType
Indicates the specific kind or category of photosynthesis an organism performs (e.g., C3, C4, CAM).
-
E.
chloroplastOrigin
Indicates that one entity is the evolutionary or developmental source from which the other entity’s chloroplasts are derived.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.