Triple
T19808852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leucadendron |
E475886
|
entity |
| Predicate | maleInflorescenceType |
P4277
|
FINISHED |
| Object | catkin-like heads |
—
|
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: catkin-like heads | Statement: [Leucadendron, maleInflorescenceType, catkin-like heads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleInflorescenceType Context triple: [Leucadendron, maleInflorescenceType, catkin-like heads]
-
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.
flowerSex
Indicates that one entity has a specified sexual characteristic or reproductive role in relation to a flower.
-
D.
stamenCount
Indicates the number of stamens present in a flower or floral structure.
-
E.
inflorescenceHeight
Indicates the vertical extent or height reached by an inflorescence (flower cluster) from its point of origin.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65429fec8819091e20908101b50eb |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.