Triple

T37061547
Position Surface form Disambiguated ID Type / Status
Subject 琵琶湖 E917336 entity
Predicate 環境保全区域 P175890 FINISHED
Object 琵琶湖国定公園 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: 琵琶湖国定公園 | Statement: [琵琶湖, 環境保全区域, 琵琶湖国定公園]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 環境保全区域
Context triple: [琵琶湖, 環境保全区域, 琵琶湖国定公園]
  • A. biosphereReserveZone
    Indicates that an area lies within a designated zone of a biosphere reserve, reflecting its specific conservation and land-use role within the reserve.
  • B. ecologicalReserveType
    Indicates the specific category or classification of an ecological reserve associated with an entity.
  • C. ecosystemsProtected
    Indicates that certain ecosystems are safeguarded from harm or degradation through conservation or protective measures.
  • D. natureReserveFeature chosen
    Indicates that a feature or element is part of, located within, or characteristic of a designated nature reserve.
  • E. containsNatureArea
    Indicates that one entity spatially includes or encompasses a designated natural area within its boundaries.
  • 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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb34e5576881909394355c8ec6ddd2 completed May 6, 2026, 12:32 p.m.
PD Predicate disambiguation batch_69fb2f6171e88190bf1e0ee6a644b6a9 completed May 6, 2026, 12:09 p.m.
Created at: May 3, 2026, 4:14 p.m.