Triple
T35355535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kudamatsu |
E1021311
|
entity |
| Predicate | hasLocalFestivalType |
P22569
|
FINISHED |
| Object | traditional Japanese 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 Japanese festivals | Statement: [Kudamatsu, hasLocalFestivalType, traditional Japanese festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalFestivalType Context triple: [Kudamatsu, hasLocalFestivalType, traditional Japanese festivals]
-
A.
hasFestival
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
B.
hasFestivityType
chosen
Indicates that an event or celebration is classified as belonging to a particular type of festivity.
-
C.
hasFestivalGenre
Indicates that a festival is associated with or categorized under a particular genre.
-
D.
hasFestivalContext
Indicates that something is related to, occurs within, or is characterized by the setting, activities, or circumstances of a festival.
-
E.
hasFestivalAttraction
Indicates that a festival includes or features a particular attraction as part of its offerings.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: May 3, 2026, 4:03 p.m.