Triple
T30036026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple blossom |
E763159
|
entity |
| Predicate | hasOpenFlowerColor |
P4578
|
FINISHED |
| Object | pale pink |
—
|
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: pale pink | Statement: [Apple blossom, hasOpenFlowerColor, pale pink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpenFlowerColor Context triple: [Apple blossom, hasOpenFlowerColor, pale pink]
-
A.
hasFlowerColor
chosen
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
B.
hasFloralFeature
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
C.
hasFlowerMotif
Indicates that one entity features or is decorated with a flower-themed design or pattern in relation to another entity.
-
D.
hasMainFloralSymbol
Indicates that an entity is associated with a primary or most representative floral symbol.
-
E.
hasBirthFlower
Indicates that one entity is the designated birth flower associated with another entity (typically a person or birth date).
- 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_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 29, 2026, 6:51 p.m.