Triple
T25227603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Furano Line |
E632127
|
entity |
| Predicate | scenicAttractionArea |
P90521
|
FINISHED |
| Object | Biei hills |
—
|
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: Biei hills | Statement: [Furano Line, scenicAttractionArea, Biei hills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scenicAttractionArea Context triple: [Furano Line, scenicAttractionArea, Biei hills]
-
A.
isScenicArea
Indicates that a location is recognized as a scenic area, typically valued for its natural beauty or visually appealing surroundings.
-
B.
scenicCategory
Indicates the classification of a place or route based on its visual appeal or scenic qualities.
-
C.
tourArea
Indicates that an entity conducts, offers, or is associated with tours within a specified geographic area or region.
-
D.
naturalAttractionOf
Indicates a relationship where one entity is a natural feature or site that draws interest, attention, or visitors from another entity.
-
E.
hasFamousScenicArea
chosen
Indicates that an entity possesses or is associated with a well-known and notable scenic area.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47cc52f3c8190a2a17ba58e5ca43f |
completed | May 1, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:04 p.m.