Triple
T35242368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoi Matsuri procession |
E1017560
|
entity |
| Predicate | selectionOfSaioDai |
P96636
|
FINISHED |
| Object | unmarried woman from Kyoto society |
—
|
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: unmarried woman from Kyoto society | Statement: [Aoi Matsuri procession, selectionOfSaioDai, unmarried woman from Kyoto society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionOfSaioDai Context triple: [Aoi Matsuri procession, selectionOfSaioDai, unmarried woman from Kyoto society]
-
A.
selectionRitual
chosen
Indicates a process or ceremony through which one or more entities are chosen from a set of candidates.
-
B.
hasDaishido
Indicates that an entity possesses, includes, or is associated with a Daishidō (a specific hall, building, or designated area).
-
C.
selectionFrom
Indicates that one entity is chosen as a member or subset from a larger set or collection represented by another entity.
-
D.
SakaeIs
Indicates that one entity is identified as or classified as "Sakae" in relation to another entity or context.
-
E.
Juyo
Indicates a relationship where one entity is associated with or characterized by the concept or style referred to as "Juyo."
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.