Triple
T21395753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamadera |
E527774
|
entity |
| Predicate | regionAttractionType |
P8077
|
FINISHED |
| Object | mountainside temple |
—
|
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: mountainside temple | Statement: [Yamadera, regionAttractionType, mountainside temple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionAttractionType Context triple: [Yamadera, regionAttractionType, mountainside temple]
-
A.
partOfAttractionType
Indicates that one attraction type is a component or subset of a broader, more general attraction type.
-
B.
attractionType
chosen
Indicates the specific kind or category of attraction that characterizes the relationship between entities.
-
C.
themeParkAttraction
Indicates that something is an attraction or ride located within a theme park.
-
D.
themeParkAttractionLocation
Indicates the specific place or area within a theme park where a particular attraction is situated.
-
E.
themeParkAttractionAt
Indicates that a specific theme park attraction is located at or associated with a particular theme park or site.
- 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_69e0b51ff3748190935c0a513c62a12b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee62ce3c5c81909e1e584e2f6667c8 |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:13 p.m.