Triple
T22440644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 新年一般参賀 |
E554745
|
entity |
| Predicate | numberOfAppearancesPerDay |
P62242
|
FINISHED |
| Object | 複数回 |
—
|
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: 複数回 | Statement: [新年一般参賀, numberOfAppearancesPerDay, 複数回]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAppearancesPerDay Context triple: [新年一般参賀, numberOfAppearancesPerDay, 複数回]
-
A.
numberOfDailyPerformances
Indicates the total count of performances that occur each day for the given subject.
-
B.
countInDayApprox
chosen
Indicates an approximate number of times an event or relation occurs within a single day.
-
C.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
D.
peakDays
Indicates the days on which something reaches its highest or most intense level of activity, usage, or occurrence.
-
E.
numberOfDaysRun
Indicates the total count of days during which the referenced activity or process has been run or executed.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae1f82881908a611f134eb03f3d |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.