Triple
T13067353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimogamo Shrine |
E329361
|
entity |
| Predicate | hasEmaVotiveTablets |
P98895
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Shimogamo Shrine, hasEmaVotiveTablets, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmaVotiveTablets Context triple: [Shimogamo Shrine, hasEmaVotiveTablets, yes]
-
A.
hasMemorialTabletsFor
Indicates that one entity contains or displays memorial tablets dedicated to another entity.
-
B.
hasVotiveOfferings
chosen
Indicates that an entity possesses or is associated with votive offerings dedicated or presented in a religious or ritual context.
-
C.
hasTempleOf
Indicates that a location or entity possesses, contains, or is the site of a temple dedicated to a particular deity, figure, or purpose.
-
D.
hasAltar
Indicates that one entity possesses, contains, or includes an altar as part of its features or components.
-
E.
hasSacredSymbol
Indicates that one entity serves as a sacred or religiously significant symbol associated with another entity.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ec8ba48190baf52c7823482680 |
completed | April 10, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69d9803d46688190bac6b7d208f08d01 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9 p.m.