Triple
T8618060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitano Tenmangū |
E204090
|
entity |
| Predicate | hasKamiType |
P83922
|
FINISHED |
| Object | kami of learning |
—
|
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: kami of learning | Statement: [Kitano Tenmangū, hasKamiType, kami of learning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKamiType Context triple: [Kitano Tenmangū, hasKamiType, kami of learning]
-
A.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
B.
kitType
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
C.
hasIdolType
Indicates that an entity is associated with or categorized by a particular type or category of idol.
-
D.
hasCarvingType
Indicates that one entity is associated with a specific type or style of carving applied to it.
-
E.
hasPetrovType
Indicates that an entity (typically a spacetime or gravitational field) is classified as having a specific Petrov type in the Petrov classification of its Weyl tensor.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4712e74c81908b607a0ab2f9a361 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:26 p.m.