Triple
T27199504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sannō Matsuri |
E683695
|
entity |
| Predicate | hasProcessionName |
P76122
|
FINISHED |
| Object | Jinkōsai procession |
—
|
NE NERFINISHED |
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: Jinkōsai procession | Statement: [Sannō Matsuri, hasProcessionName, Jinkōsai procession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProcessionName Context triple: [Sannō Matsuri, hasProcessionName, Jinkōsai procession]
-
A.
returnProcessionName
chosen
Indicates that an entity provides or yields the name associated with a specific procession.
-
B.
hasProcessionFrom
Indicates that a procession, ceremony, or formal movement originates from or starts at a specified source location or entity.
-
C.
hasProcessionDuring
Indicates that a procession or ceremonial march takes place during a specified time period or event.
-
D.
processionIncludes
Indicates that a particular procession contains or involves a specified participant, element, or component as part of it.
-
E.
mainProcessionDay
Indicates the specific day on which the primary or central procession of an event or celebration takes place.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 27, 2026, 9:35 a.m.