Triple

T8487158
Position Surface form Disambiguated ID Type / Status
Subject Sapporo Streetcar E200858 entity
Predicate owner P347 FINISHED
Object City of Sapporo E40366 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: City of Sapporo | Statement: [Sapporo Streetcar, owner, City of Sapporo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Sapporo
Context triple: [Sapporo Streetcar, owner, City of Sapporo]
  • A. Sapporo chosen
    Sapporo is the capital and largest city of Japan’s northern Hokkaido prefecture, known for its annual snow festival, beer, and ski resorts.
  • B. Kiyota-ku, Sapporo
    Kiyota-ku, Sapporo is one of the administrative wards of the city of Sapporo in Hokkaido, Japan, known primarily as a residential area with parks and suburban-style neighborhoods.
  • C. Fuji City
    Fuji City is an industrial city in Shizuoka Prefecture, Japan, known for its paper manufacturing industry and views of nearby Mount Fuji.
  • D. Hakodate
    Hakodate is a historic port city on Japan’s northern island of Hokkaido, known for its scenic night views from Mount Hakodate and its blend of Japanese and Western-influenced architecture.
  • E. Kushiro
    Kushiro is a coastal city in eastern Hokkaido, Japan, known for its large fishing port, cool maritime climate, and nearby wetlands rich in wildlife such as red-crowned cranes.
  • 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_69ca831d7b148190a6e32c1de43ab13b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53c4d608190a766c0e919a4b96f completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88d3e2808190856ee01cc20fbaec completed April 2, 2026, 3:18 p.m.
Created at: March 30, 2026, 6:13 p.m.