Triple
T30036010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple blossom |
E763159
|
entity |
| Predicate | hasPetalCountRange |
P12542
|
FINISHED |
| Object | 5 petals (typically) |
—
|
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: 5 petals (typically) | Statement: [Apple blossom, hasPetalCountRange, 5 petals (typically)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPetalCountRange Context triple: [Apple blossom, hasPetalCountRange, 5 petals (typically)]
-
A.
petalCount
chosen
Indicates the number of petals associated with an entity, typically a flower or floral structure.
-
B.
hasPetalType
Indicates that an entity possesses petals characterized by a specific type or form.
-
C.
hasSepals
Indicates that an entity (typically a flower) possesses sepals as part of its structure.
-
D.
hasSpecializedPetal
Indicates that an entity possesses petals that are specialized or modified for a particular function or role.
-
E.
stamenCount
Indicates the number of stamens present in a flower or floral structure.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 29, 2026, 6:51 p.m.