Triple
T28855792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columelliaceae |
E728729
|
entity |
| Predicate | floralBiology |
P1351
|
FINISHED |
| Object | bisexual 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: bisexual flowers | Statement: [Columelliaceae, floralBiology, bisexual flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floralBiology Context triple: [Columelliaceae, floralBiology, bisexual flowers]
-
A.
plant
Indicates that an entity places or sets something firmly in or on a location, often so it will grow, remain fixed, or be established there.
-
B.
plantKingdom
Indicates that the subject belongs to, or is classified within, the plant kingdom.
-
C.
flowerStructure
chosen
Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
-
D.
seedPlant
Indicates the action of placing seeds into soil or another growing medium to initiate the growth of plants.
-
E.
botanicalSpecialization
Indicates a relationship where an entity is specialized or focused specifically on botany or botanical subjects.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f659dc20e881908c5f4f1706b9a53a |
completed | May 2, 2026, 8:09 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:45 a.m.