Triple
T23556667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zieria |
E578202
|
entity |
| Predicate | leafComposition |
P572
|
FINISHED |
| Object | compound 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: compound leaves | Statement: [Zieria, leafComposition, compound leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafComposition Context triple: [Zieria, leafComposition, compound leaves]
-
A.
fieldComposition
Indicates how the components or elements within a field are organized, combined, or structured in relation to one another.
-
B.
leafType
chosen
Indicates the specific kind or classification of leaf associated with an entity.
-
C.
branchComposition
Indicates that one branch or subdivision is structurally or functionally composed of, or made up from, another entity or set of entities.
-
D.
compositionFrom
Indicates that something is formed or made up from specified constituent parts or materials.
-
E.
compositionalFeature
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aed37f248190992f040f4d22f0bf |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:12 p.m.