Triple
T36454975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goraiko (sunrise from Mount Fuji summit) |
E898126
|
entity |
| Predicate | isAssociatedWithMountain |
P38502
|
FINISHED |
| Object | Mount Fuji |
—
|
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: Mount Fuji | Statement: [Goraiko (sunrise from Mount Fuji summit), isAssociatedWithMountain, Mount Fuji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAssociatedWithMountain Context triple: [Goraiko (sunrise from Mount Fuji summit), isAssociatedWithMountain, Mount Fuji]
-
A.
associatedWithMountain
chosen
Indicates a relationship in which something has a connection, link, or relevance to a mountain.
-
B.
associatedWithMountainRange
Indicates a relationship where something is connected or related in some way to a specific mountain range.
-
C.
isAssociatedWithHill
Indicates a relationship where an entity is connected or related in some notable way to a hill.
-
D.
hasMountainSport
Indicates that an entity is associated with or offers a particular mountain-related sport or activity.
-
E.
isMountOf
Indicates that one entity serves as the riding animal or mount for another 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.