Triple

T15392396
Position Surface form Disambiguated ID Type / Status
Subject 長堀鶴見緑地線 E368079 entity
Predicate 主要経由地 P65699 FINISHED
Object 谷町六丁目
谷町六丁目は、大阪市中央区に位置し、地下鉄駅を中心に古い町並みとカフェや雑貨店が混在する落ち着いた市街地エリアである。
 E1155370 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: 谷町六丁目 | Statement: [長堀鶴見緑地線, 主要経由地, 谷町六丁目]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 谷町六丁目
Context triple: [長堀鶴見緑地線, 主要経由地, 谷町六丁目]
  • A. 麹町地区
    麹町地区は、東京都千代田区に位置する、官公庁や企業オフィス、教育機関が集まる歴史ある市街地エリアです。
  • B. Motomachi
    Motomachi is a central commercial and entertainment district in Osaka known for its bustling shopping streets and proximity to major transport hubs.
  • C. Motomachi
    Motomachi is a historic commercial and shopping district in Kobe, Japan, known for its fashionable boutiques, cafes, and proximity to the city’s Chinatown and waterfront.
  • D. Motomachi
    Motomachi is a stylish shopping and entertainment district in Yokohama known for its fashionable boutiques, cafes, and Western-influenced atmosphere.
  • E. 出町柳駅
    出町柳駅は、京都市左京区に位置し、京阪電気鉄道の鴨東線・叡山電鉄叡山本線が接続するターミナル駅です。
  • 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: 谷町六丁目
Triple: [長堀鶴見緑地線, 主要経由地, 谷町六丁目]
Generated description
谷町六丁目は、大阪市中央区に位置し、地下鉄駅を中心に古い町並みとカフェや雑貨店が混在する落ち着いた市街地エリアである。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 谷町六丁目
Target entity description: 谷町六丁目は、大阪市中央区に位置し、地下鉄駅を中心に古い町並みとカフェや雑貨店が混在する落ち着いた市街地エリアである。
  • A. 麹町地区
    麹町地区は、東京都千代田区に位置する、官公庁や企業オフィス、教育機関が集まる歴史ある市街地エリアです。
  • B. Motomachi
    Motomachi is a historic commercial and shopping district in Kobe, Japan, known for its fashionable boutiques, cafes, and proximity to the city’s Chinatown and waterfront.
  • C. Motomachi
    Motomachi is a stylish shopping and entertainment district in Yokohama known for its fashionable boutiques, cafes, and Western-influenced atmosphere.
  • D. Motomachi
    Motomachi is a central commercial and entertainment district in Osaka known for its bustling shopping streets and proximity to major transport hubs.
  • E. 出町柳駅
    出町柳駅は、京都市左京区に位置し、京阪電気鉄道の鴨東線・叡山電鉄叡山本線が接続するターミナル駅です。
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1350699c8190acf7830d88455851 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff17c6837c8190a2b6fa1ac9c3de01 completed May 9, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_69ff184d63e88190906689e14cfc8933 completed May 9, 2026, 11:19 a.m.
Created at: April 10, 2026, 3:19 a.m.