Triple
T28885231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichinomiya shrines of Japan |
E732540
|
entity |
| Predicate | criterionOfDesignation |
P165698
|
FINISHED |
| Object | importance within the province |
—
|
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: importance within the province | Statement: [Ichinomiya shrines of Japan, criterionOfDesignation, importance within the province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criterionOfDesignation Context triple: [Ichinomiya shrines of Japan, criterionOfDesignation, importance within the province]
-
A.
exampleDesignation
Indicates that one entity is identified or labeled as a representative or illustrative instance of another entity.
-
B.
associatedDesignation
Indicates that one entity is linked to or identified by a particular designation, title, or label connected with it.
-
C.
religiousDesignation
Indicates the specific religious role, status, or affiliation assigned to an entity.
-
D.
nationalDesignation
Indicates that an entity has been formally assigned a specific status, title, or classification by a nation or national authority.
-
E.
earthDesignation
Indicates that an entity has a specific name or label assigned to it for use in an Earth-based or human-centric context.
- F. None of above. chosen
Provenance (4 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a718b288190bfcae9fddf71aced |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 7:49 a.m.