Triple
T4033900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceanothus |
E83781
|
entity |
| Predicate | inflorescence |
P4277
|
FINISHED |
| Object | dense clusters of small flowers |
—
|
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: dense clusters of small flowers | Statement: [Ceanothus, inflorescence, dense clusters of small flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inflorescence Context triple: [Ceanothus, inflorescence, dense clusters of small flowers]
-
A.
inflorescenceType
chosen
Indicates the specific kind or arrangement of a plant’s flower cluster in which its flowers are borne.
-
B.
inflorescenceShape
Indicates the characteristic form or outline of an organism’s flower cluster or flowering structure.
-
C.
flowerStructure
Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
-
D.
flowerPosition
Indicates the spatial location or arrangement of a flower relative to a reference object or coordinate system.
-
E.
isFlowering
Indicates that an entity is currently undergoing or capable of undergoing the process of producing flowers.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb108fc0819080c8f41da2e558e0 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.