Triple
T31943418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Shrine Festival |
E815584
|
entity |
| Predicate | numberOfMainMikoshi |
P89637
|
FINISHED |
| Object | three |
—
|
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: three | Statement: [Three Shrine Festival, numberOfMainMikoshi, three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainMikoshi Context triple: [Three Shrine Festival, numberOfMainMikoshi, three]
-
A.
numberOfMainTorii
Indicates the specific count of primary torii gates associated with a given entity.
-
B.
hasMikoshi
chosen
Indicates that an entity possesses, contains, or is associated with a mikoshi (a portable Shinto shrine).
-
C.
numberOfShrines
Indicates the total count of shrines associated with a given entity or context.
-
D.
seatCountOfMaki
Indicates the number of seats associated with a specific maki (such as a sushi roll type or menu item).
-
E.
numberOfKannonStatues
Indicates the count of Kannon statues associated with a given entity or location.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0164b052608190adc93240dad50a06 |
completed | May 11, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_6a01637fd3ac8190970eb09650d1e659 |
completed | May 11, 2026, 5:05 a.m. |
Created at: May 1, 2026, 12:06 a.m.