Triple

T11801729
Position Surface form Disambiguated ID Type / Status
Subject Nishikyo-ku, Kyoto E280642 entity
Predicate hasBorderWith P224 FINISHED
Object Kameoka, Kyoto Prefecture E143790 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: Kameoka, Kyoto Prefecture | Statement: [Nishikyo-ku, Kyoto, hasBorderWith, Kameoka, Kyoto Prefecture]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kameoka, Kyoto Prefecture
Context triple: [Nishikyo-ku, Kyoto, hasBorderWith, Kameoka, Kyoto Prefecture]
  • A. Oyamazaki, Kyoto Prefecture
    Oyamazaki, Kyoto Prefecture is a small town in southern Kyoto Prefecture known for its historic role as a strategic crossroads and the site of the Battle of Yamazaki.
  • B. Yawata, Kyoto Prefecture
    Yawata, Kyoto Prefecture is a small city in the Kyoto metropolitan area of Japan, known for its historic shrines and traditional cultural heritage.
  • C. Kameoka chosen
    Kameoka is a city in Kyoto Prefecture, Japan, known for its rural landscapes, historical sites, and proximity to Kyoto.
  • D. Kōka, Shiga Prefecture
    Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a4512c8190b7782e1dee053000 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f43f8a57ec8190aded70ae89aa8cf7 completed May 1, 2026, 5:52 a.m.
Created at: April 8, 2026, 9:42 p.m.