Triple
T36066304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōharano Jinja |
E1043240
|
entity |
| Predicate | hasImperialPatronage |
P189370
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ōharano Jinja, hasImperialPatronage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImperialPatronage Context triple: [Ōharano Jinja, hasImperialPatronage, true]
-
A.
hasRoyalPatronageSince
Indicates that an entity has been under the official support or sponsorship of a royal person or institution starting from a specified point in time.
-
B.
hasPatronageOver
Indicates that one entity serves as a patron, sponsor, or protector for another, exercising support, guidance, or authority over it.
-
C.
hasImperialPeriod
Indicates that an entity is associated with, or belongs to, a specific imperial historical period.
-
D.
usesImperialRegalia
Indicates that one entity employs or incorporates imperial regalia (such as crowns, scepters, or other sovereign insignia) in relation to another entity or context.
-
E.
grantedRoyalPatronageBy
Indicates that an individual, group, or institution has officially received support, endorsement, or sponsorship from a member of a royal family.
- 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_69f76e2fd3248190b900d9a492bf5a7a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: May 3, 2026, 4:08 p.m.