Triple

T1509707
Position Surface form Disambiguated ID Type / Status
Subject Prince Asaka Yasuhiko E33985 entity
Predicate placeOfBirth P1 FINISHED
Object Kyoto, Japan E10010 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: Kyoto, Japan | Statement: [Prince Asaka Yasuhiko, placeOfBirth, Kyoto, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyoto, Japan
Context triple: [Prince Asaka Yasuhiko, placeOfBirth, Kyoto, Japan]
  • A. Kyoto chosen
    Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
  • 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. Fukuroi, Japan
    Fukuroi, Japan is a city in Shizuoka Prefecture known for its agricultural production, traditional temples, and role as a regional industrial and cultural center.
  • E. Shizuoka City, Japan
    Shizuoka City, Japan is a coastal city in central Honshu known for its views of Mount Fuji, green tea production, and role as a regional economic and cultural center.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891e9da881909d0b12f1bc05863f completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69af83294c4881908411bc4f8649dbdd completed March 10, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:24 p.m.