Triple
T24493381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coco de mer |
E617709
|
entity |
| Predicate | hasFemaleFlowers |
P68196
|
FINISHED |
| Object | large solitary 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: large solitary flowers | Statement: [coco de mer, hasFemaleFlowers, large solitary flowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFemaleFlowers Context triple: [coco de mer, hasFemaleFlowers, large solitary flowers]
-
A.
flowerSex
Indicates that one entity has a specified sexual characteristic or reproductive role in relation to a flower.
-
B.
hasSexesOnSeparatePlants
Indicates that the male and female reproductive structures occur on different individual plants rather than on the same plant.
-
C.
hasFloralFeature
chosen
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
D.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.