Triple
T22915423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujisankei Classic |
E568721
|
entity |
| Predicate | locationView |
P28452
|
FINISHED |
| Object | near Mount Fuji |
—
|
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: near Mount Fuji | Statement: [Fujisankei Classic, locationView, near Mount Fuji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationView Context triple: [Fujisankei Classic, locationView, near Mount Fuji]
-
A.
locationComponent
Indicates that one entity is a constituent or sub-part of a larger location defined by another entity.
-
B.
locationPresented
Indicates that a specific location is presented or shown to an entity (such as a user or system) within a given context.
-
C.
locationScrapped
Indicates that the location associated with an entity has been removed, discarded, or is no longer considered valid or in use.
-
D.
locationOfVision
chosen
Indicates the place or setting where a vision or visual experience occurs or is perceived.
-
E.
locationFocus
Indicates that the primary or most relevant location associated with an entity, event, or relation is being specified or emphasized.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18079217481908db98882929ac69a |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.