Triple

T23469649
Position Surface form Disambiguated ID Type / Status
Subject 中央区 E569191 entity
Predicate partOf P40 FINISHED
Object 東京都区部 NE NERFINISHED

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: 東京都区部 | Statement: [中央区, partOf, 東京都区部]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 東京都区部
Context triple: [中央区, partOf, 東京都区部]
  • A. 東京都区部 chosen
    東京都区部 is the densely populated urban core of Tokyo, comprising its 23 special wards that function collectively as the central city area of Japan’s capital.
  • B. 東京都港区
    東京都港区は、東京湾に面し大使館や企業本社、高級住宅地が集まる東京都心の行政区の一つです。
  • C. Ichigaya district, Tokyo
    Ichigaya district, Tokyo is a central Tokyo neighborhood known for hosting major government and defense institutions, including Japan’s Ministry of Defense.
  • D. 新宿区
    新宿区は、東京都心に位置し、日本有数の繁華街・オフィス街・行政機関が集まる主要な特別区です。
  • E. Hachiōji area
    The Hachiōji area is a suburban region in western Tokyo, Japan, known for its residential neighborhoods, educational institutions, and proximity to natural attractions such as Mount Takao.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6feb5688190ad4ce42fc9590adb completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:54 p.m.