Triple
T8063278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirota Shrine |
E188176
|
entity |
| Predicate | isPrincipalReligiousSiteOf |
P50855
|
FINISHED |
| Object | Nishinomiya |
—
|
NE NERFINISHED |
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: Nishinomiya | Statement: [Hirota Shrine, isPrincipalReligiousSiteOf, Nishinomiya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrincipalReligiousSiteOf Context triple: [Hirota Shrine, isPrincipalReligiousSiteOf, Nishinomiya]
-
A.
isPlaceOfPilgrimageFor
Indicates that a location serves as a destination for religious or spiritual pilgrimage for a person or group.
-
B.
isPlaceOfWorshipFor
Indicates that a location serves as a site where members of a particular religion or belief system perform worship or religious practices.
-
C.
hasReligiousSite
Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
-
D.
religiousSiteType
Indicates the specific kind or category of religious site associated with an entity (e.g., church, mosque, temple).
-
E.
religiousSiteRank
chosen
Indicates the hierarchical or status-based rank assigned to a religious site within a religious or organizational structure.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fce95f08190b803956a20082e95 |
completed | March 31, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:26 p.m.