Triple
T15912766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diphylleia |
E385887
|
entity |
| Predicate | petalBehavior |
P120507
|
FINISHED |
| Object | becomes translucent when wet |
—
|
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: becomes translucent when wet | Statement: [Diphylleia, petalBehavior, becomes translucent when wet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: petalBehavior Context triple: [Diphylleia, petalBehavior, becomes translucent when wet]
-
A.
petalShape
Indicates the characteristic form or outline of a flower’s petals in relation to the whole blossom.
-
B.
petalTexture
Indicates the type or quality of surface texture exhibited by a flower’s petals.
-
C.
petalCount
Indicates the number of petals associated with an entity, typically a flower or floral structure.
-
D.
petalMarkings
Indicates the pattern, color, or distinctive markings present on the petals of a flower in relation to the flower they belong to.
-
E.
flowerOpeningBehavior
Indicates how a flower’s petals open or unfold over time or in response to environmental conditions.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.