Triple

T22533346
Position Surface form Disambiguated ID Type / Status
Subject 東京都港区 E557098 entity
Predicate containsDistrict P22582 FINISHED
Object 台場
台場は、東京湾に面した臨海副都心エリアで、ショッピングモールや観覧車、科学館などの観光・娯楽施設が集まる人気の観光地です。
 E1541848 NE FINISHED

How this triple was built (4 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: 台場 | Statement: [東京都港区, containsDistrict, 台場]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 台場
Context triple: [東京都港区, containsDistrict, 台場]
  • A. 新橋
    新橋 is a bustling business and entertainment district in central Tokyo known for its salaryman culture, izakaya alleys, and major railway hub.
  • B. 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.
  • C. 北沢
    北沢は、東京都世田谷区に位置する住宅地と商業地が混在した地域で、下北沢などの繁華なエリアを含む街区である。
  • D. Makuhari New City
    Makuhari New City is a large, modern waterfront business and convention district in Chiba, Japan, known for its high-rise offices, shopping complexes, and the Makuhari Messe convention center.
  • E. 台東区
    台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 台場
Triple: [東京都港区, containsDistrict, 台場]
Generated description
台場は、東京湾に面した臨海副都心エリアで、ショッピングモールや観覧車、科学館などの観光・娯楽施設が集まる人気の観光地です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 台場
Target entity description: 台場は、東京湾に面した臨海副都心エリアで、ショッピングモールや観覧車、科学館などの観光・娯楽施設が集まる人気の観光地です。
  • A. 新橋
    新橋 is a bustling business and entertainment district in central Tokyo known for its salaryman culture, izakaya alleys, and major railway hub.
  • B. 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.
  • C. 北沢
    北沢は、東京都世田谷区に位置する住宅地と商業地が混在した地域で、下北沢などの繁華なエリアを含む街区である。
  • D. Makuhari New City
    Makuhari New City is a large, modern waterfront business and convention district in Chiba, Japan, known for its high-rise offices, shopping complexes, and the Makuhari Messe convention center.
  • E. 台東区
    台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
  • F. None of above. chosen

Provenance (5 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_69e11e57483c8190b0887c4f8ff26446 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ed88cf08190ae7e5b6bf9a80372 completed April 29, 2026, 1:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1ddee4f48190972567034fa0c9d7 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1f09934c81909c0d81a7838f5580 completed May 18, 2026, 2:15 p.m.
NED2 Entity disambiguation (via description) batch_6a0b258107088190ba81cb2d0a34209b completed May 18, 2026, 2:43 p.m.
Created at: April 16, 2026, 8:51 p.m.