Triple
T13396300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myrtus |
E319709
|
entity |
| Predicate | hasStamens |
P68196
|
FINISHED |
| Object | numerous prominent stamens |
—
|
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: numerous prominent stamens | Statement: [Myrtus, hasStamens, numerous prominent stamens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStamens Context triple: [Myrtus, hasStamens, numerous prominent stamens]
-
A.
stamenCount
Indicates the number of stamens present in a flower or floral structure.
-
B.
typicalStamens
Indicates that the stamens of an organism or structure exhibit the standard or characteristic form, number, or arrangement expected for that taxon or group.
-
C.
hasPetalType
Indicates that an entity possesses petals characterized by a specific type or form.
-
D.
hasFloralWhorlCount
Indicates the number of floral whorls present in a flower.
-
E.
hasFloralFeature
chosen
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d892d08190b1b192b93fe3d72d |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.