Triple
T38662634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Week in China |
E940372
|
entity |
| Predicate | peakTravelPeriod |
P162720
|
FINISHED |
| Object | one of the busiest travel seasons in China |
—
|
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: one of the busiest travel seasons in China | Statement: [Golden Week in China, peakTravelPeriod, one of the busiest travel seasons in China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakTravelPeriod Context triple: [Golden Week in China, peakTravelPeriod, one of the busiest travel seasons in China]
-
A.
popularTimeToVisit
Indicates the time period during which a place is most frequently visited or experiences peak visitor activity.
-
B.
peakVisitorPeriod
chosen
Indicates the time period during which a place or attraction experiences its highest number of visitors.
-
C.
tourismStartPeriod
Indicates the time period or date when a tourism-related activity, season, or service begins.
-
D.
expeditionPeriod
Indicates the time span or duration during which an expedition takes place.
-
E.
seasonalTourism
Indicates that tourism activity in a place varies significantly by season, with distinct peak and off-peak periods.
- 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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.