Triple

T19213122
Position Surface form Disambiguated ID Type / Status
Subject Numazu E480405 entity
Predicate hasSisterCity P919 FINISHED
Object Ueda, Nagano 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: Ueda, Nagano | Statement: [Numazu, hasSisterCity, Ueda, Nagano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ueda, Nagano
Context triple: [Numazu, hasSisterCity, Ueda, Nagano]
  • A. Ueda
    Ueda is a historic city in Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its scenic riverside setting.
  • B. Ueda City chosen
    Ueda City is a historic regional center in eastern Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its surrounding mountainous scenery.
  • C. Yoshida, Niigata
    Yoshida, Niigata is a town in Niigata Prefecture, Japan, known as a local administrative and residential center on the coast of the Sea of Japan.
  • D. Higashikawa
    Higashikawa is a town in Hokkaido, Japan, known as a gateway to the Daisetsuzan mountain range and for its scenic natural landscapes.
  • E. Yamanouchi, Nagano
    Yamanouchi, Nagano is a mountainous town in Japan’s Nagano Prefecture known for its hot springs, snow monkeys, and popular ski resorts.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa38c0e881908e9501ee21d0f266 completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:21 p.m.