Triple
T37757394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usui Pass section between Yokokawa and Karuizawa |
E941153
|
entity |
| Predicate | isSteepMountainSection |
P180937
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Usui Pass section between Yokokawa and Karuizawa, isSteepMountainSection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSteepMountainSection Context triple: [Usui Pass section between Yokokawa and Karuizawa, isSteepMountainSection, true]
-
A.
isHill
Indicates that the subject entity is classified as a hill, i.e., a naturally raised area of land lower and less steep than a mountain.
-
B.
hasMountainSections
chosen
Indicates that a route, area, or path includes one or more segments that pass through or are characterized by mountainous terrain.
-
C.
isMountainRoad
Indicates that a given road is classified as a mountain road, typically traversing or situated within mountainous terrain.
-
D.
isOnHill
Indicates that one entity is located on or atop a hill relative to another reference frame or context.
-
E.
isOnSlopeOf
Indicates that one entity is located on the inclined surface or side of another entity, typically a sloping terrain or structure.
- 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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef69bec8190b601dc1473f4eaf3 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.