Triple
T35947243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | evening primrose family |
E1039617
|
entity |
| Predicate | floralPartsNumber |
P12542
|
FINISHED |
| Object | typically in fours |
—
|
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: typically in fours | Statement: [evening primrose family, floralPartsNumber, typically in fours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floralPartsNumber Context triple: [evening primrose family, floralPartsNumber, typically in fours]
-
A.
petalCount
chosen
Indicates the number of petals associated with an entity, typically a flower or floral structure.
-
B.
hasFloralWhorlCount
Indicates the number of floral whorls present in a flower.
-
C.
numberOfFlowersDepicted
Indicates the quantity of flowers shown or represented in an image or depiction.
-
D.
carpelNumber
Indicates the number of carpels present in a flower’s gynoecium.
-
E.
flowerStructure
Indicates the structural characteristics or organization of a flower, such as the arrangement and form of its parts.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.