Triple
T7915012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōchi Prefecture |
E183798
|
entity |
| Predicate | hasFlowerSymbol |
P7837
|
FINISHED |
| Object | Yamayuri (goldband lily) |
—
|
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: Yamayuri (goldband lily) | Statement: [Kōchi Prefecture, hasFlowerSymbol, Yamayuri (goldband lily)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlowerSymbol Context triple: [Kōchi Prefecture, hasFlowerSymbol, Yamayuri (goldband lily)]
-
A.
hasFloralFeature
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
-
B.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
C.
hasPlantSymbol
chosen
Indicates that an entity is associated with or represented by a particular plant as its symbolic emblem or sign.
-
D.
hasPetalType
Indicates that an entity possesses petals characterized by a specific type or form.
-
E.
flowerSymbolMeaning
Indicates that a particular flower is used to represent or convey a specific symbolic meaning or message.
- 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_69ca828efbe48190bd48482650182e79 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a759b548190af2e2aa0705d7051 |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae9316e98819080be7bf1a6ff92f1 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:05 p.m.