Triple

T9248534
Position Surface form Disambiguated ID Type / Status
Subject Kyoto Basin E222258 entity
Predicate formsGeographicSettingFor P3227 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: [Kyoto Basin, formsGeographicSettingFor, Uji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uji
Context triple: [Kyoto Basin, formsGeographicSettingFor, 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. 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.
  • C. 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.
  • D. Ulawun
    Ulawun is one of Papua New Guinea’s most active and dangerous stratovolcanoes, located on the island of New Britain.
  • E. Ubay
    Ubay is a coastal municipality in the northeastern part of Bohol in the Philippines, known as a local commercial and transport 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f6d62c8190a1e33f1854767b47 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077fed7888190a5d36bc2ee4c2bd2 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.