Triple
T36455041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 本栖湖 |
E898127
|
entity |
| Predicate | 周辺の観光地 |
P33214
|
FINISHED |
| Object | 本栖湖キャンプ場 |
—
|
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: 本栖湖キャンプ場 | Statement: [本栖湖, 周辺の観光地, 本栖湖キャンプ場]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 周辺の観光地 Context triple: [本栖湖, 周辺の観光地, 本栖湖キャンプ場]
-
A.
tourismFeature
chosen
Indicates that something serves as an attraction, amenity, or point of interest relevant to tourism or visitors.
-
B.
typicalSights
Indicates that certain sights or visual features are commonly or characteristically observed in association with a given entity or context.
-
C.
nearbyWorldHeritageSite
Indicates that one entity is located close to, or in the immediate vicinity of, a designated World Heritage Site.
-
D.
sights
Indicates that one entity perceives or observes another entity or object using vision.
-
E.
tourismRegion
Indicates that a place or area is designated or recognized as a tourism region associated with another geographic or administrative entity.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.