Triple
T637867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranunculales |
E16663
|
entity |
| Predicate | leafMorphology |
P572
|
FINISHED |
| Object | often compound or deeply lobed leaves |
—
|
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 compound or deeply lobed leaves | Statement: [Ranunculales, leafMorphology, often compound or deeply lobed leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafMorphology Context triple: [Ranunculales, leafMorphology, often compound or deeply lobed leaves]
-
A.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
-
B.
leafType
chosen
Indicates the specific kind or classification of leaf associated with an entity.
-
C.
leafArrangement
Indicates how leaves are positioned or organized on a plant’s stem or branches.
-
D.
leafColorUpperSurface
Indicates the color exhibited on the upper surface of a leaf.
-
E.
flowerStructure
Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a17b125481909a6ab53424954792 |
completed | March 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69a49d0629308190bcc137639567f7c2 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.