Triple
T27199420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 日枝神社 |
E683693
|
entity |
| Predicate | hasGoshuin |
P113870
|
FINISHED |
| Object | shuin stamp for pilgrims |
—
|
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: shuin stamp for pilgrims | Statement: [日枝神社, hasGoshuin, shuin stamp for pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGoshuin Context triple: [日枝神社, hasGoshuin, shuin stamp for pilgrims]
-
A.
hasPilgrimageStamp
chosen
Indicates that an entity possesses or has received a stamp documenting participation in a pilgrimage.
-
B.
hasPilgrimageObject
Indicates that an entity has a specific object or site that serves as the focus or destination of a pilgrimage associated with it.
-
C.
hasPilgrimageFrom
Indicates that a pilgrimage originates from or is undertaken starting at a specified location or source.
-
D.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
E.
hasVisitation
Indicates that one entity visits, or is allowed or scheduled to visit, another entity or location.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:35 a.m.