Triple
T36127743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōmiwa Jinja |
E1044928
|
entity |
| Predicate | enshrinesKamiType |
P173222
|
FINISHED |
| Object | mountain kami |
—
|
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: mountain kami | Statement: [Ōmiwa Jinja, enshrinesKamiType, mountain kami]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enshrinesKamiType Context triple: [Ōmiwa Jinja, enshrinesKamiType, mountain kami]
-
A.
shrineType
Indicates the specific category or kind of shrine associated with an entity.
-
B.
isMostSacredShrineOf
Indicates that one entity is regarded as the holiest or most sacred shrine associated with another entity (such as a deity, religion, or tradition).
-
C.
enshrines
Indicates that one entity formally preserves, protects, or honors another by giving it a permanent, often sacred or legally recognized, status.
-
D.
hasEnshrinedKami
chosen
Indicates that a shrine or sacred place contains or is dedicated to a particular kami (deity) as its enshrined object of worship.
-
E.
shrineName
Indicates that an entity has the specified name of a shrine.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.