Triple

T14249190
Position Surface form Disambiguated ID Type / Status
Subject 赤坂御用地 E353212 entity
Predicate 所在地 P40 FINISHED
Object 東京都港区赤坂 E627707 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: 東京都港区赤坂 | Statement: [赤坂御用地, 所在地, 東京都港区赤坂]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 東京都港区赤坂
Context triple: [赤坂御用地, 所在地, 東京都港区赤坂]
  • A. 東京都港区 chosen
    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。
  • B. Shinagawa, Tokyo, Japan
    Shinagawa is a major commercial and transportation hub in southern Tokyo, known for its busy railway station, high-rise office buildings, and waterfront developments along Tokyo Bay.
  • C. 高田馬場
    高田馬場 is a bustling neighborhood in Tokyo’s Shinjuku ward known for its major train station, student population, and numerous eateries and entertainment spots.
  • D. Shinagawa Station area
    The Shinagawa Station area is a major commercial and transportation hub in Tokyo, known for its busy Shinkansen-connected railway terminal, high-rise offices, hotels, and shopping facilities.
  • E. 下北沢
    下北沢は東京都世田谷区に位置する、古着店やライブハウス、個性的なカフェが集まる若者文化とサブカルチャーの発信地として知られる街です。
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6295ef9081909cfb0c1283bca21a completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325815d48190b070866f41986847 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:08 a.m.