Triple
T1048655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plum Blossom Banner |
E22641
|
entity |
| Predicate | flowerSymbolMeaning |
P24024
|
FINISHED |
| Object | endurance in winter |
—
|
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: endurance in winter | Statement: [Plum Blossom Banner, flowerSymbolMeaning, endurance in winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowerSymbolMeaning Context triple: [Plum Blossom Banner, flowerSymbolMeaning, endurance in winter]
-
A.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
B.
flowerCharacteristic
Indicates that a flower possesses a particular attribute, quality, or feature (such as color, shape, size, or scent).
-
C.
nationalFlower
Indicates that a particular flower is officially designated as the national flower of a country or region.
-
D.
hasBirthFlower
Indicates that one entity is the designated birth flower associated with another entity (typically a person or birth date).
-
E.
petalCount
Indicates the number of petals associated with an entity, typically a flower or floral structure.
- F. None of above. chosen
Provenance (4 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f28c7c8190b9ca3749666bcbf3 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b72e3e488190b768005ad647886b |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b8f1097881908932d7eea4331917 |
completed | March 1, 2026, 10:08 p.m. |
Created at: March 1, 2026, 7:42 p.m.