Triple

T13024457
Position Surface form Disambiguated ID Type / Status
Subject Kamigamo Shrine E326264 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: [Kamigamo Shrine, locatedIn, Kita-ku, Kyoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kita-ku, Kyoto
Context triple: [Kamigamo Shrine, 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. Ukyo-ku, Kyoto
    Ukyo-ku, Kyoto is one of Kyoto City's western wards, known for its historic temples, traditional streets, and scenic areas such as Arashiyama.
  • E. 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.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f5323c8190aa239bad461b0857 completed May 8, 2026, 3:13 a.m.
Created at: April 9, 2026, 8:52 p.m.