Triple

T21827849
Position Surface form Disambiguated ID Type / Status
Subject Kitami Institute of Technology E538901 entity
Predicate locatedIn P40 FINISHED
Object Kitami 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: Kitami | Statement: [Kitami Institute of Technology, locatedIn, Kitami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kitami
Context triple: [Kitami Institute of Technology, locatedIn, Kitami]
  • A. Kitami chosen
    Kitami is a city in northeastern Hokkaido, Japan, known for its cold winters, onion production, and proximity to the Okhotsk Sea.
  • B. Kitakami
    Kitakami is a city in northeastern Japan known for its scenic river valley, cherry blossoms, and role as a regional industrial and transportation hub.
  • C. Kitami, Hokkaido
    Kitami is a city in northeastern Hokkaido, Japan, known as a regional commercial center and gateway to the Okhotsk area.
  • D. Kitami City
    Kitami City is a regional hub in northeastern Hokkaido, Japan, known for its cold winters, agriculture, and role as an administrative and commercial center.
  • E. Yuzawa
    Yuzawa is a Japanese city best known for its hot springs and ski resorts, making it a popular winter tourism destination.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f09133718081909faa67c3721aed52 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.