Triple
T13513279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 中国人民解放军建军节 |
E322691
|
entity |
| Predicate | 节日性质 |
P2155
|
FINISHED |
| Object | 军事节日 |
—
|
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: 军事节日 | Statement: [中国人民解放军建军节, 节日性质, 军事节日]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 节日性质 Context triple: [中国人民解放军建军节, 节日性质, 军事节日]
-
A.
holidayType
chosen
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
B.
holidayRole
Indicates the specific function, duty, or part an entity plays in relation to a holiday or holiday-related event.
-
C.
relatedHoliday
Indicates that there is an association or connection between two holidays, such as thematic, temporal, cultural, or contextual relatedness.
-
D.
hasPublicHolidayOrFestival
Indicates that there exists a public holiday or festival associated with, occurring in, or relevant to the given entity.
-
E.
traditionalHoliday
Indicates that an event or celebration is recognized as a customary or long-established holiday within a culture or community.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf87ca288190a147fbdb2f90985f |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:44 p.m.