Triple

T4041638
Position Surface form Disambiguated ID Type / Status
Subject Gion district E83963 entity
Predicate hasPart P35 FINISHED
Object Gion Shirakawa Canal E288654 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: Gion Shirakawa Canal | Statement: [Gion district, hasPart, Gion Shirakawa Canal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gion Shirakawa Canal
Context triple: [Gion district, hasPart, Gion Shirakawa Canal]
  • A. Shirakawa Canal chosen
    Shirakawa Canal is a picturesque waterway in Kyoto, Japan, lined with traditional buildings and cherry trees, known for its scenic beauty and historic atmosphere.
  • B. Dotonbori Canal
    Dotonbori Canal is a famous waterway in Osaka, Japan, known for its vibrant nightlife, neon billboards, and role as a major entertainment and tourist district.
  • C. Nara Canal
    Nara Canal is one of Pakistan’s major irrigation canals, channeling Indus River water to agricultural lands in Sindh.
  • D. Otaru Canal
    Otaru Canal is a historic waterway in Otaru, Japan, famed for its preserved stone warehouses, nostalgic atmosphere, and picturesque night illuminations.
  • E. Kitashinagawa
    Kitashinagawa is a neighborhood in Tokyo’s Shinagawa ward known for its traditional shopping streets, historic temples, and proximity to Shinagawa Station.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb3a9314819095dcf47675eedb48 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5564d0fb881909ba645714be27b95 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.