Triple
T2567014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arashiyama Bamboo Grove |
E57374
|
entity |
| Predicate | bestVisitTimeOfDay |
P31097
|
FINISHED |
| Object | early morning |
—
|
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: early morning | Statement: [Arashiyama Bamboo Grove, bestVisitTimeOfDay, early morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestVisitTimeOfDay Context triple: [Arashiyama Bamboo Grove, bestVisitTimeOfDay, early morning]
-
A.
bestVisitedAt
chosen
Indicates the optimal time or conditions under which a place or entity should be visited.
-
B.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
C.
budTime
Indicates the time or period when a bud forms or begins to develop.
-
D.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
E.
typicalEndHourLocal
Indicates the usual local-time clock hour at which an activity, event, or operation typically ends.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3602ed08190aad0f9c7ac577eb0 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0cc8d308190ae7aa32b8f5ae2e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.