Triple
T24426442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirou Shrine |
E615872
|
entity |
| Predicate | sacredNaturalFeature |
P71845
|
FINISHED |
| Object | waterfall |
—
|
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: waterfall | Statement: [Hirou Shrine, sacredNaturalFeature, waterfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sacredNaturalFeature Context triple: [Hirou Shrine, sacredNaturalFeature, waterfall]
-
A.
hasSacredNaturalFeature
chosen
Indicates that an entity possesses or is associated with a natural feature (such as a mountain, river, or grove) that is regarded as sacred.
-
B.
sacredHill
Indicates that a hill holds religious or spiritual significance within a belief system or tradition.
-
C.
sacredRiverNearby
Indicates that there is a sacred river located in close proximity to the referenced entity.
-
D.
hasSpiritualSitesIn
Indicates that one entity possesses or contains spiritual or religious sites located within the boundaries of another entity.
-
E.
isPlaceOfPilgrimageFor
Indicates that a location serves as a destination for religious or spiritual pilgrimage for a person or group.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a7406481908b85f3befc8feeee |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:15 a.m.