Triple
T24290471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pachypodium namaquanum |
E605801
|
entity |
| Predicate | leafAdaptation |
P130825
|
FINISHED |
| Object | drought-deciduous |
—
|
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: drought-deciduous | Statement: [Pachypodium namaquanum, leafAdaptation, drought-deciduous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafAdaptation Context triple: [Pachypodium namaquanum, leafAdaptation, drought-deciduous]
-
A.
typicalVegetationAdaptation
chosen
Indicates the characteristic ways in which vegetation is adapted to the prevailing environmental conditions of a given area.
-
B.
typicalLeafCharacteristic
Indicates the usual or defining features of a leaf that characterize it under normal conditions.
-
C.
leafGrowthPattern
Indicates the characteristic way in which a plant’s leaves develop, arrange, and expand over time.
-
D.
leafNumberCharacteristic
Indicates a relationship where an entity is associated with a specific count or quantitative characteristic of its leaves.
-
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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f29155e3cc8190808723d6b56dcfc0 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.