Triple
T30110295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 夙川 |
E765249
|
entity |
| Predicate | attractsSeasonalVisitors |
P118671
|
FINISHED |
| Object | cherry blossom season |
—
|
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: cherry blossom season | Statement: [夙川, attractsSeasonalVisitors, cherry blossom season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attractsSeasonalVisitors Context triple: [夙川, attractsSeasonalVisitors, cherry blossom season]
-
A.
typicalVisitorsPerSeason
Indicates the usual number of visitors associated with each season for a given entity or location.
-
B.
isSeasonalAttraction
chosen
Indicates that an attraction is available or prominently featured only during specific seasons or times of the year.
-
C.
seasonalTourism
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
-
D.
returnedAsSeasonalAttraction
Indicates that an entity that was previously unavailable has come back into use or display specifically as a limited-time or seasonal attraction.
-
E.
attractsTypeOfVisitor
Indicates that an entity draws or appeals to a particular kind or category of visitor.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67dbea60881908c1877527d877ba0 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:10 p.m.