Triple
T5163069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eucalyptus pauciflora |
E116482
|
entity |
| Predicate | floweringPlantPart |
P51054
|
FINISHED |
| Object | axillary inflorescences |
—
|
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: axillary inflorescences | Statement: [Eucalyptus pauciflora, floweringPlantPart, axillary inflorescences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floweringPlantPart Context triple: [Eucalyptus pauciflora, floweringPlantPart, axillary inflorescences]
-
A.
flowerStructure
Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
-
B.
hasPlantPart
chosen
Indicates that one entity includes, contains, or is composed of a specific plant part of another entity.
-
C.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
D.
affectsPlantPart
Indicates that one entity produces an influence, change, or impact on a specific part of a plant.
-
E.
hasFloralWhorlCount
Indicates the number of floral whorls present in a flower.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7927a348819082ad531955cdf30d |
completed | March 20, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69bd77b36c008190b91011a9fa52b3d2 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.