Triple

T22611895
Position Surface form Disambiguated ID Type / Status
Subject Kyoto 5th district E566726 entity
Predicate includesMunicipality P14658 FINISHED
Object Kyōtango 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: Kyōtango | Statement: [Kyoto 5th district, includesMunicipality, Kyōtango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyōtango
Context triple: [Kyoto 5th district, includesMunicipality, Kyōtango]
  • A. Kyotango chosen
    Kyotango is a coastal city in northern Kyoto Prefecture, Japan, known for its scenic landscapes, hot springs, and traditional rural culture.
  • B. Kōtaishi
    Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
  • C. Kōyō
    Kōyō is a Japanese given name, notably borne by the writer Kōyō Ozaki.
  • D. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • E. Mitoyo
    Mitoyo is a coastal city in western Kagawa Prefecture on Japan’s Shikoku Island, known for its scenic Seto Inland Sea views and rural landscapes.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167eb08c88190bf2380fa8575d2da completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:56 p.m.