Triple
T29627964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | love-in-idleness |
E755195
|
entity |
| Predicate | hasPetalPattern |
P4278
|
FINISHED |
| Object | three-colored petals |
—
|
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: three-colored petals | Statement: [love-in-idleness, hasPetalPattern, three-colored petals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPetalPattern Context triple: [love-in-idleness, hasPetalPattern, three-colored petals]
-
A.
hasPetalType
Indicates that an entity possesses petals characterized by a specific type or form.
-
B.
hasSpecializedPetal
Indicates that an entity possesses petals that are specialized or modified for a particular function or role.
-
C.
petalMarkings
chosen
Indicates the pattern, color, or distinctive markings present on the petals of a flower in relation to the flower they belong to.
-
D.
petalShape
Indicates the characteristic form or outline of a flower’s petals in relation to the whole blossom.
-
E.
hasFloralFeature
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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 28, 2026, 6:39 p.m.