Triple
T37294547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moriguchi, Osaka |
E925761
|
entity |
| Predicate | hasSymbolFlower |
P7837
|
FINISHED |
| Object | Satsuki azalea |
—
|
NE NERFINISHED |
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: Satsuki azalea | Statement: [Moriguchi, Osaka, hasSymbolFlower, Satsuki azalea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSymbolFlower Context triple: [Moriguchi, Osaka, hasSymbolFlower, Satsuki azalea]
-
A.
hasFloralFeature
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
B.
hasMainFloralSymbol
Indicates that an entity is associated with a primary or most representative floral symbol.
-
C.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
D.
hasFlowerMotif
Indicates that one entity features or is decorated with a flower-themed design or pattern in relation to another entity.
-
E.
hasPlantSymbol
chosen
Indicates that an entity is associated with or represented by a particular plant as its symbolic emblem or sign.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.