Triple
T37586201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Futarasan Shrine |
E935116
|
entity |
| Predicate | mountainWorshipSiteOf |
P72716
|
FINISHED |
| Object | Mount Nantai |
—
|
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: Mount Nantai | Statement: [Futarasan Shrine, mountainWorshipSiteOf, Mount Nantai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountainWorshipSiteOf Context triple: [Futarasan Shrine, mountainWorshipSiteOf, Mount Nantai]
-
A.
holyMountain
chosen
Indicates that a mountain is regarded as sacred or religiously significant within a particular belief system or tradition.
-
B.
isMountOf
Indicates that one entity serves as the riding animal or mount for another entity.
-
C.
countryOfWorshipSite
Indicates that a place of worship is located within the borders of a specified country.
-
D.
sacredHill
Indicates that a hill holds religious or spiritual significance within a belief system or tradition.
-
E.
homeMountainOf
Indicates that a particular mountain is the primary or native mountain associated with a given entity (such as a person, group, or organization).
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:17 p.m.