Triple
T38662566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Week (China) |
E940371
|
entity |
| Predicate | mainGoldenWeek |
P63372
|
FINISHED |
| Object | National Day Golden Week |
—
|
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: National Day Golden Week | Statement: [Golden Week (China), mainGoldenWeek, National Day Golden Week]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainGoldenWeek Context triple: [Golden Week (China), mainGoldenWeek, National Day Golden Week]
-
A.
positionInGoldenWeek
Indicates the specific placement or order of something within the sequence of days that make up Golden Week.
-
B.
primaryHoliday
chosen
Indicates that one holiday is the main or most significant holiday associated with a given entity, time, or context.
-
C.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
D.
isHolidaySpecialOf
Indicates that something is a special version, event, or offering specifically created for or associated with a particular holiday.
-
E.
mentionsHoliday
Indicates that one entity refers to or brings up a holiday in relation to another entity or context.
- 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.