Triple
T17017513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeouido Park |
E412860
|
entity |
| Predicate | hasCherryBlossoms |
P68196
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Yeouido Park, hasCherryBlossoms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCherryBlossoms Context triple: [Yeouido Park, hasCherryBlossoms, yes]
-
A.
hasPrefecturalFlower
Indicates that a particular prefecture is associated with a designated official flower.
-
B.
hasCherryTreesPlantedSince
Indicates that cherry trees have been planted on or at an entity starting from a specified point in time and continuing thereafter.
-
C.
isCherrySpecies
Indicates that one entity is a biological species classified as a type of cherry in relation to another entity.
-
D.
isFlowering
Indicates that an entity is currently undergoing or capable of undergoing the process of producing flowers.
-
E.
hasFloralFeature
chosen
Indicates that an entity possesses a specific floral characteristic, structure, or attribute.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.