Triple
T20873245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafflesia arnoldii |
E513946
|
entity |
| Predicate | hasLargestSingleFlower |
P142192
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rafflesia arnoldii, hasLargestSingleFlower, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargestSingleFlower Context triple: [Rafflesia arnoldii, hasLargestSingleFlower, true]
-
A.
hasFloralFeature
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
B.
isOneOfLargestPlantsOf
Indicates that the subject is among the largest plants within the group or category specified by the object.
-
C.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
D.
hasMainFloralSymbol
Indicates that an entity is associated with a primary or most representative floral symbol.
-
E.
hasSpecializedPetal
Indicates that an entity possesses petals that are specialized or modified for a particular function or role.
- F. None of above. chosen
Provenance (4 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c46639308190a616193f3975d453 |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:45 p.m.