Triple

T35804303
Position Surface form Disambiguated ID Type / Status
Subject Lake Suwa E1035064 entity
Predicate hasNearbyOnsenTown P130405 FINISHED
Object Kamisuwa Onsen
Kamisuwa Onsen is a historic hot spring resort town in Suwa, Nagano Prefecture, known for its lakeside baths, traditional ryokan inns, and views of Lake Suwa and surrounding mountains.
 E2159329 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kamisuwa Onsen
Triple: [Lake Suwa, hasNearbyOnsenTown, Kamisuwa Onsen]
Generated description
Kamisuwa Onsen is a historic hot spring resort town in Suwa, Nagano Prefecture, known for its lakeside baths, traditional ryokan inns, and views of Lake Suwa and surrounding mountains.
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 (6 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.
NED1 Entity disambiguation (via context triple) batch_6a38a4dba2c48190b6c8ef5a63a5c9c7 completed June 22, 2026, 2:58 a.m.
NEDg Description generation batch_6a38a5618be48190893b3e8202847748 completed June 22, 2026, 3 a.m.
NED2 Entity disambiguation (via description) batch_6a38a5fa291c81909955855947ef19d5 completed June 22, 2026, 3:03 a.m.
PD Predicate disambiguation batch_6a002eae7b6481909974b321e2789b7e completed May 10, 2026, 7:07 a.m.
Created at: May 3, 2026, 4:06 p.m.