Triple

T16045751
Position Surface form Disambiguated ID Type / Status
Subject Miyagino-ku E389213 entity
Predicate partOf P40 FINISHED
Object Sendai City 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: Sendai City | Statement: [Miyagino-ku, partOf, Sendai City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sendai City
Context triple: [Miyagino-ku, partOf, Sendai City]
  • A. Sendai chosen
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • B. Yamagata City
    Yamagata City is a regional hub in northeastern Japan known for its hot springs, surrounding mountains, and annual Hanagasa Festival.
  • C. Yaizu City
    Yaizu City is a coastal city in central Japan known for its fishing industry and seafood processing, particularly in tuna and bonito.
  • D. Mitsurugi
    Mitsurugi is a recurring samurai warrior character from the Soulcalibur fighting game series, known for his mastery of the katana and traditional Japanese swordsmanship.
  • E. Suwa City
    Suwa City is a regional city in central Japan known for its scenic Lake Suwa, hot springs, precision manufacturing industry, and the historic Suwa Taisha shrine complex.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835dd9a0819087e362cf5770232a completed April 17, 2026, 12:48 a.m.
Created at: April 10, 2026, 4:56 a.m.