Triple

T1708951
Position Surface form Disambiguated ID Type / Status
Subject Shiga Prefecture E36933 entity
Predicate contains P35 FINISHED
Object Rittō E300012 NE 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: Rittō | Statement: [Shiga Prefecture, contains, Rittō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rittō
Context triple: [Shiga Prefecture, contains, Rittō]
  • A. Rittō chosen
    Rittō is a city in Shiga Prefecture, Japan, known for its residential communities and proximity to the Kyoto–Osaka metropolitan area.
  • B. Yasu
    Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
  • C. Yukio
    Yukio is a Japanese given name commonly used for males and borne by several notable figures in politics, arts, and entertainment.
  • D. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63118618819085700fa84e362d60 completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc189de08190b88849333d824c5b completed March 11, 2026, 5:22 a.m.
Created at: March 4, 2026, 7:30 p.m.