Triple
T17962359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassia fistula |
E449114
|
entity |
| Predicate | flowerColorSymbolism |
P24024
|
FINISHED |
| Object | associated with Thai royalty |
—
|
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: associated with Thai royalty | Statement: [Cassia fistula, flowerColorSymbolism, associated with Thai royalty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerColorSymbolism Context triple: [Cassia fistula, flowerColorSymbolism, associated with Thai royalty]
-
A.
flowerSymbolMeaning
chosen
Indicates that a particular flower is used to represent or convey a specific symbolic meaning or message.
-
B.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
C.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
D.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
E.
flowerCharacteristic
Indicates that a flower possesses a particular attribute, quality, or feature (such as color, shape, size, or scent).
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b134bc68819097cc199ea8e80f6c |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.