Triple

T13165903
Position Surface form Disambiguated ID Type / Status
Subject Nagano City Hall E312848 entity
Predicate administers P123 FINISHED
Object City of Nagano E78933 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: City of Nagano | Statement: [Nagano City Hall, administers, City of Nagano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Nagano
Context triple: [Nagano City Hall, administers, City of Nagano]
  • A. Nagano chosen
    Nagano is a city in central Japan best known internationally for hosting the 1998 Winter Olympic Games.
  • B. Nagaokakyo City
    Nagaokakyo City is a suburban city in Kyoto Prefecture, Japan, known for its residential communities, historical temples, and convenient rail access to Kyoto and Osaka.
  • C. Nagaoka-kyō
    Nagaoka-kyō was an ancient Japanese imperial capital established in the late 8th century, serving briefly as the political center before the court moved to Heian-kyō (Kyoto).
  • D. Tokamachi, Niigata
    Tokamachi, Niigata is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional Echigo-jofu textiles, and scenic rural landscapes.
  • E. Takayama
    Takayama is a historic mountain city in Japan’s Gifu Prefecture, known for its well-preserved Edo-period streets, traditional wooden houses, and proximity to the Japanese Alps.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0bf5a48190bf245dceee24b579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a2a3f2881909af3e146ee24062d completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:13 p.m.