Triple
T36454973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goraiko (sunrise from Mount Fuji summit) |
E898126
|
entity |
| Predicate | isObservedAt |
P7677
|
FINISHED |
| Object | summit of 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: summit of Mount Fuji | Statement: [Goraiko (sunrise from Mount Fuji summit), isObservedAt, summit of Mount Fuji]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isObservedAt Context triple: [Goraiko (sunrise from Mount Fuji summit), isObservedAt, summit of Mount Fuji]
-
A.
isObservedOn
Indicates that a particular phenomenon, condition, or attribute is detected or recorded at a specific time, date, or occasion.
-
B.
observedAt
chosen
Indicates that an entity was recorded or noticed at a specific time or place.
-
C.
isObservedIn
Indicates that something (such as a phenomenon, property, or behavior) is detected, recorded, or found to occur within a particular context, setting, or environment.
-
D.
isObservedFrom
Indicates that one entity serves as the vantage point or location from which another entity is perceived, measured, or monitored.
-
E.
observedSince
Indicates that one entity has been continuously or repeatedly observed starting from a specified point in time.
- 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.