Triple
T5534129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | January |
E145117
|
entity |
| Predicate | hasTypicalFlower |
P12449
|
FINISHED |
| Object | carnation (birth flower association) |
—
|
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: carnation (birth flower association) | Statement: [January, hasTypicalFlower, carnation (birth flower association)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalFlower Context triple: [January, hasTypicalFlower, carnation (birth flower association)]
-
A.
hasFlowerColor
Indicates that an entity (typically a plant or flower) possesses a specific flower color.
-
B.
isFlowering
Indicates that an entity is currently undergoing or capable of undergoing the process of producing flowers.
-
C.
flowerType
Indicates the specific kind or category of flower associated with an entity.
-
D.
hasSpecializedPetal
Indicates that an entity possesses petals that are specialized or modified for a particular function or role.
-
E.
hasBirthFlower
chosen
Indicates that one entity is the designated birth flower associated with another entity (typically a person or birth date).
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fa0141c81909a216be9f48d64e1 |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:34 p.m.