Triple
T18801677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxifragaceae |
E459768
|
entity |
| Predicate | typicalLeafArrangement |
P575
|
FINISHED |
| Object | rosette-forming |
—
|
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: rosette-forming | Statement: [Saxifragaceae, typicalLeafArrangement, rosette-forming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLeafArrangement Context triple: [Saxifragaceae, typicalLeafArrangement, rosette-forming]
-
A.
leafArrangement
chosen
Indicates how leaves are positioned or organized on a plant’s stem or branches.
-
B.
typicalLeafCharacteristic
Indicates the usual or defining features of a leaf that characterize it under normal conditions.
-
C.
leafVenationType
Indicates the pattern or arrangement of veins within a leaf.
-
D.
leafNumberCharacteristic
Indicates a relationship where an entity is associated with a specific count or quantitative characteristic of its leaves.
-
E.
foliageCharacteristic
Indicates the specific traits or qualities of an entity’s foliage, such as its type, texture, color, or other distinguishing features.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02400208190b1d84e2b0640df08 |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.