Triple
T14340792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumadaniji |
E355593
|
entity |
| Predicate | hasPilgrimageStamp |
P113870
|
FINISHED |
| Object | nokyocho stamp |
—
|
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: nokyocho stamp | Statement: [Kumadaniji, hasPilgrimageStamp, nokyocho stamp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPilgrimageStamp Context triple: [Kumadaniji, hasPilgrimageStamp, nokyocho stamp]
-
A.
hasPilgrimageFrom
Indicates that a pilgrimage originates from or is undertaken starting at a specified location or source.
-
B.
hasPilgrimagePeak
Indicates that a place or route is associated with a specific peak that serves as a destination or focal point for religious or spiritual pilgrimage.
-
C.
hasPilgrimageActivity
Indicates that an entity engages in, organizes, or is associated with a religious pilgrimage activity.
-
D.
hasPilgrims
Indicates that an entity is associated with or contains pilgrims, typically as visitors, members, or participants in a pilgrimage.
-
E.
hasPilgrimageType
Indicates that an entity is associated with a specific type or category of pilgrimage.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e87febc8190a63c668cbd0fd713 |
completed | April 14, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e8a40e4819080240c874da1842c |
completed | April 14, 2026, 12:09 p.m. |
Created at: April 10, 2026, 1:14 a.m.