Triple

T3189088
Position Surface form Disambiguated ID Type / Status
Subject Mishima E66773 entity
Predicate locatedNear P294 FINISHED
Object Numazu E480405 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: Numazu | Statement: [Mishima, locatedNear, Numazu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numazu
Context triple: [Mishima, locatedNear, Numazu]
  • A. Numazu chosen
    Numazu is a coastal city in Shizuoka Prefecture, Japan, known for its fishing industry, scenic views of Mount Fuji, and role as a regional transportation hub.
  • B. Urakami
    Urakami is a historic district of Nagasaki, Japan, known notably as the area devastated by the atomic bombing during World War II and for its prominent Catholic heritage.
  • C. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • D. Katsuragi-shi
    Katsuragi-shi is a city located in Nara Prefecture in Japan, known for its historical sites and proximity to the Katsuragi mountain range.
  • E. Azumino City
    Azumino City is a scenic municipality in central Japan known for its rural landscapes, clear spring water, and views of the Northern Japan 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e491508190bc881feaee3889bc completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ece7e2881909da0e81ccf8c4eb4 completed March 28, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:06 p.m.