Triple

T2477262
Position Surface form Disambiguated ID Type / Status
Subject Prince Higashifushimi Yorihito E55117 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 Higashifushimi Yorihito, placeOfBirth, Kyoto, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyoto, Japan
Context triple: [Prince Higashifushimi Yorihito, 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. Kita-ku, Kyoto
    Kita-ku, Kyoto is a northern ward of Kyoto, Japan, known for its historic temples, traditional neighborhoods, and scenic mountainous surroundings.
  • C. Fushimi-ku, Kyoto
    Fushimi-ku, Kyoto is a ward in southern Kyoto City known for its historic sake breweries, traditional streetscapes, and major Shinto shrines.
  • D. 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.
  • E. 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.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd14dde208190ad4e1c9de5d43b0a completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20321518c8190a221620074f3428b completed March 12, 2026, 12:04 a.m.
Created at: March 6, 2026, 9:45 p.m.