Triple
T31601568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quillaja family |
E806360
|
entity |
| Predicate | flowerTypeOfMembers |
P579
|
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: [Quillaja family, flowerTypeOfMembers, bisexual flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerTypeOfMembers Context triple: [Quillaja family, flowerTypeOfMembers, bisexual flowers]
-
A.
flowerType
chosen
Indicates the specific kind or category of flower associated with an entity.
-
B.
flowerParadeType
Indicates the specific kind or category of a flower parade associated with an entity.
-
C.
flowerClusterType
Indicates the specific arrangement or grouping pattern in which individual flowers are clustered together.
-
D.
flowerStructure
Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
-
E.
floweringPlantGroup
Indicates that the subject belongs to, or is classified within, a particular group or category of flowering plants.
- 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 10:33 p.m.