Triple
T16758422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dazaifu |
E407269
|
entity |
| Predicate | hasImportantFunction |
P71974
|
FINISHED |
| Object | regional religious center |
—
|
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: regional religious center | Statement: [Dazaifu, hasImportantFunction, regional religious center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImportantFunction Context triple: [Dazaifu, hasImportantFunction, regional religious center]
-
A.
hasPrimaryFunction
Indicates that one entity serves as the main or principal function or role of another entity.
-
B.
hasPublicFunction
Indicates that an entity possesses a function or method that is publicly accessible or callable from outside its defining scope.
-
C.
containsFunction
Indicates that one entity includes, defines, or provides the implementation of a particular function.
-
D.
hasCoreFunction
chosen
Indicates that one entity serves as a primary or essential function or role of another entity.
-
E.
hasFunctionInPresent
Indicates that an entity currently performs, exhibits, or fulfills a specific function or role at the present time.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abea156c8190a5ee6d0028471810 |
completed | April 18, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.