Triple

T19052460
Position Surface form Disambiguated ID Type / Status
Subject Omihachiman Station E466293 entity
Predicate adjacentCity P5707 FINISHED
Object Otsu 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: Otsu | Statement: [Omihachiman Station, adjacentCity, Otsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otsu
Context triple: [Omihachiman Station, adjacentCity, Otsu]
  • A. Otsu chosen
    Otsu is the capital city of Shiga Prefecture in Japan, known for its location on the southwestern shore of Lake Biwa and its historic temples and lakeside scenery.
  • B. Shuji
    Shuji is a Japanese given name most notably borne by Nobel Prize–winning physicist Shuji Nakamura.
  • C. Ishihara
    Ishihara is a common Japanese surname borne by various notable figures in politics, arts, and entertainment.
  • D. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • E. Yamazoe
    Yamazoe is a rural village in Nara Prefecture, Japan, known for its mountainous terrain, forests, and traditional countryside landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc031ff881908e8c68c7aaff3733 completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.