Triple
T35804303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Suwa |
E1035064
|
entity |
| Predicate | hasNearbyOnsenTown |
P130405
|
FINISHED |
| Object | Kamisuwa Onsen |
—
|
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: Kamisuwa Onsen | Statement: [Lake Suwa, hasNearbyOnsenTown, Kamisuwa Onsen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyOnsenTown Context triple: [Lake Suwa, hasNearbyOnsenTown, Kamisuwa Onsen]
-
A.
nearOnsenTown
chosen
Indicates that one entity is located close to a town that has or is known for hot spring facilities.
-
B.
hasNearbyPilgrimageSite
Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
-
C.
hasNearbyShrine
Indicates that one entity is located close to or in the vicinity of a shrine associated with another entity.
-
D.
hasNearbyOilTown
Indicates that one location is situated close to a town whose economy or identity is significantly associated with oil production or refining.
-
E.
hasIslandNearby
Indicates that one location is situated close to an island in geographic space.
- 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_69f76e169bd081909f16cd8c9ee7870c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a002f0839fc8190a874d3b0d0826d7e |
completed | May 10, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_6a002eae7b6481909974b321e2789b7e |
completed | May 10, 2026, 7:07 a.m. |
Created at: May 3, 2026, 4:06 p.m.