Triple

T9035479
Position Surface form Disambiguated ID Type / Status
Subject Nishi-ku, Sapporo E216481 entity
Predicate hasJapaneseName P9882 FINISHED
Object 札幌市西区 E216481 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: 札幌市西区 | Statement: [Nishi-ku, Sapporo, hasJapaneseName, 札幌市西区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 札幌市西区
Context triple: [Nishi-ku, Sapporo, hasJapaneseName, 札幌市西区]
  • A. 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.
  • B. Shiroishi-ku, Sapporo
    Shiroishi-ku, Sapporo is one of the administrative wards of the city of Sapporo in Hokkaido, Japan, known as a primarily residential and commercial area with convenient urban access.
  • C. Higashi-ku, Sapporo
    Higashi-ku, Sapporo is one of the administrative wards of Sapporo, Japan, known for its mix of residential neighborhoods, commercial areas, and transportation links in the eastern part of the city.
  • D. 北海道第5区
    北海道第5区は、北海道札幌市東区・厚別区などを中心とする衆議院小選挙区で、保守系候補が強い選挙区として知られている。
  • E. Nishi-ku, Sapporo chosen
    Nishi-ku, Sapporo is one of the administrative wards of Sapporo, Japan, known for its mix of residential areas, commercial districts, and access to nearby mountains and natural scenery.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6abf4af481908d21245332329d99 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbd1cd688190a4456f242e6d3ddf completed April 3, 2026, 3:25 p.m.
Created at: March 30, 2026, 7:08 p.m.