Triple

T8618057
Position Surface form Disambiguated ID Type / Status
Subject Kitano Tenmangū E204090 entity
Predicate locatedIn P40 FINISHED
Object Kita-ku, Kyoto E291736 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: Kita-ku, Kyoto | Statement: [Kitano Tenmangū, locatedIn, Kita-ku, Kyoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kita-ku, Kyoto
Context triple: [Kitano Tenmangū, locatedIn, Kita-ku, Kyoto]
  • A. Kita-ku, Kyoto chosen
    Kita-ku, Kyoto is a northern ward of Kyoto, Japan, known for its historic temples, traditional neighborhoods, and scenic mountainous surroundings.
  • B. Kamigyo-ku, Kyoto
    Kamigyo-ku, Kyoto is a central ward of Kyoto City known for its historic neighborhoods, traditional culture, and many important temples and shrines.
  • C. Sakyo-ku, Kyoto
    Sakyo-ku, Kyoto is a northeastern ward of Kyoto City known for its major universities, historic temples, and scenic natural areas including parts of the Higashiyama and Kitayama mountains.
  • D. Nakagyō-ku, Kyoto
    Nakagyō-ku, Kyoto is a central ward of Kyoto City known for its historic sites, traditional streetscapes, and role as a cultural and commercial hub.
  • E. Kita-ku, Osaka
    Kita-ku, Osaka is a central ward of Osaka City known as a major commercial, business, and transportation hub that includes the bustling Umeda district.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4712e74c81908b607a0ab2f9a361 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbcb910881909088da53c6e31ae3 completed April 2, 2026, 6:56 p.m.
Created at: March 30, 2026, 6:26 p.m.