Triple
T9979895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meoto Iwa |
E196423
|
entity |
| Predicate | viewingBestTime |
P81349
|
FINISHED |
| Object | sunrise |
—
|
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: sunrise | Statement: [Meoto Iwa, viewingBestTime, sunrise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewingBestTime Context triple: [Meoto Iwa, viewingBestTime, sunrise]
-
A.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
B.
bestTimeForPhotography
chosen
Indicates the most suitable or optimal time period for taking photographs, typically based on lighting or environmental conditions.
-
C.
presentedAtTime
Indicates that an event, action, or item was presented or occurred at a specific point in time.
-
D.
showsTimePeriod
Indicates that one entity presents or displays a specific span or interval of time associated with another entity.
-
E.
bestVisitTimeForGameViewing
Indicates the optimal time period to visit a location specifically for viewing or watching a particular game or sporting event.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb8b9aca881908a9b5dfd7e0de4ba |
completed | April 2, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9daa808190b413a1b9a1e929e2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:49 p.m.