Triple

T12063255
Position Surface form Disambiguated ID Type / Status
Subject Fushimi E287226 entity
Predicate near P350 FINISHED
Object Uji E120290 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: Uji | Statement: [Fushimi, near, Uji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uji
Context triple: [Fushimi, near, Uji]
  • A. Uji chosen
    Uji is a historic Japanese city near Kyoto renowned for its high-quality green tea and the UNESCO-listed Byōdō-in Temple.
  • B. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • C. Uyugan
    Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
  • D. Udaijin
    Udaijin was a high-ranking ministerial post in Japan’s historical imperial court, typically serving as one of the chief advisors and administrators directly beneath the top chancellor.
  • E. Urusemal
    Urusemal is a surname most notably associated with Joseph J. Urusemal, a politician from the Federated States of Micronesia who served as its president.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043f82248190b05692aa0dc178a8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f654eb1881908d656009f1362ecf completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.