Triple
T23376462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chitose-ame |
E593618
|
entity |
| Predicate | relatedFestivalDate |
P152495
|
FINISHED |
| Object | November 15 |
—
|
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: November 15 | Statement: [Chitose-ame, relatedFestivalDate, November 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedFestivalDate Context triple: [Chitose-ame, relatedFestivalDate, November 15]
-
A.
relatedFestivalType
Indicates that one festival is associated with another through a shared or corresponding festival type or category.
-
B.
linkedFestival
Indicates that two entities are associated through a common festival, event, or celebration.
-
C.
associatedFestivalOrCustom
Indicates a festival or custom that is traditionally linked or related to the given entity.
-
D.
linksFestivalTo
Indicates that one entity is associated with, connected to, or participates in a particular festival.
-
E.
shareCulturalFestivals
Indicates that two or more entities participate in or observe the same cultural festivals or celebrations.
- F. None of above. chosen
Provenance (4 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b3cc348190953d0b0ebac9c5dd |
completed | April 29, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69f061c7aaa48190a58ce93f87155ffc |
completed | April 28, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 5:33 p.m.