Triple
T5315955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Magnolia State |
E119147
|
entity |
| Predicate | associatedWithFloralSymbol |
P755
|
FINISHED |
| Object | magnolia |
—
|
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: magnolia | Statement: [The Magnolia State, associatedWithFloralSymbol, magnolia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFloralSymbol Context triple: [The Magnolia State, associatedWithFloralSymbol, magnolia]
-
A.
flowerSymbolMeaning
Indicates that a particular flower is used to represent or convey a specific symbolic meaning or message.
-
B.
hasBirthFlower
Indicates that one entity is the designated birth flower associated with another entity (typically a person or birth date).
-
C.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
D.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
E.
nationalFlower
chosen
Indicates that a particular flower is officially designated as the national flower of a country or region.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:54 p.m.