Triple
T32458451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wuhua County, Guangdong |
E829495
|
entity |
| Predicate | hasLocalFestivalsType |
P3113
|
FINISHED |
| Object | traditional Chinese festivals |
—
|
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: traditional Chinese festivals | Statement: [Wuhua County, Guangdong, hasLocalFestivalsType, traditional Chinese festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalFestivalsType Context triple: [Wuhua County, Guangdong, hasLocalFestivalsType, traditional Chinese festivals]
-
A.
localFestivities
Indicates that certain celebrations, events, or cultural activities are taking place within a specific local area or community.
-
B.
hasCulturalEvent
Indicates that a cultural event (such as a festival, performance, or exhibition) takes place in, is associated with, or is hosted by a given entity.
-
C.
hasFestival
chosen
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
D.
hasFestivalFrequency
Indicates how often a festival or recurring celebratory event takes place within a given time period.
-
E.
shareCulturalFestivals
Indicates that two or more entities participate in or observe the same cultural festivals or celebrations.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
Created at: May 1, 2026, 12:56 a.m.