Triple
T36725764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miura Kaigan Beach |
E907190
|
entity |
| Predicate | cherryBlossomSeason |
P578
|
FINISHED |
| Object | around February to March |
—
|
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: around February to March | Statement: [Miura Kaigan Beach, cherryBlossomSeason, around February to March]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cherryBlossomSeason Context triple: [Miura Kaigan Beach, cherryBlossomSeason, around February to March]
-
A.
bloomSeason
Indicates the time period during which something, typically a plant, is in bloom or flowering.
-
B.
floweringSeason
chosen
Indicates the time period during which a plant typically produces flowers.
-
C.
hasCherryBlossomViewing
Indicates that an entity engages in or offers the activity of viewing cherry blossoms.
-
D.
flowerParadeSeason
Indicates the time of year during which a flower parade customarily takes place.
-
E.
bloomingSeasonRelativeTo
Indicates the time period or phase, relative to another reference point or season, during which an entity is in bloom.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.