Triple
T33788041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cherry Blossom |
E865848
|
entity |
| Predicate | countryOfRecordingContext |
P8088
|
FINISHED |
| Object | Japan |
—
|
NE NERFINISHED |
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: Japan | Statement: [Cherry Blossom, countryOfRecordingContext, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfRecordingContext Context triple: [Cherry Blossom, countryOfRecordingContext, Japan]
-
A.
placeOfRecording
chosen
Indicates the location where an audio, video, or other recording was made.
-
B.
recordCountry
Indicates that an entity (such as a record or event) is associated with or originates from a specific country.
-
C.
countryOfCharting
Indicates the country in which an item (such as a song, album, or product) achieved a position on an official chart.
-
D.
widelyRecordedIn
Indicates that an event, fact, or phenomenon has been documented or captured in many different records, sources, or media.
-
E.
creationCountry
Indicates the country in which an entity was originally created, produced, or brought into existence.
- 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_69f3498ecc2c8190bcd85e3f11dc215e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00d76d0e0881908d83a8dcce511167 |
completed | May 10, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_6a00d711805881909a94cfd1f25fb331 |
completed | May 10, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:45 a.m.