Triple
T31257861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shui Xian |
E797029
|
entity |
| Predicate | typicalLeafAppearance |
P126358
|
FINISHED |
| Object | dark twisted 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: dark twisted leaves | Statement: [Shui Xian, typicalLeafAppearance, dark twisted leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLeafAppearance Context triple: [Shui Xian, typicalLeafAppearance, dark twisted leaves]
-
A.
typicalLeafCharacteristic
Indicates the usual or defining features of a leaf that characterize it under normal conditions.
-
B.
foliageCharacteristic
chosen
Indicates the specific traits or qualities of an entity’s foliage, such as its type, texture, color, or other distinguishing features.
-
C.
characteristicLeafTexture
Indicates the typical surface feel or texture that characterizes a leaf (e.g., smooth, rough, hairy) as a defining trait.
-
D.
leafColor
Indicates the color or coloration characteristics of a leaf in relation to a plant or plant part.
-
E.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:12 p.m.