Triple

T13705377
Position Surface form Disambiguated ID Type / Status
Subject 先斗町 E328625 entity
Predicate extendsTo P1673 FINISHED
Object 三条通
三条通 is a major east–west street in central Kyoto, known for its mix of traditional shops, modern cafes, and historical atmosphere.
E1054916 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: 三条通 | Statement: [先斗町, extendsTo, 三条通]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 三条通
Context triple: [先斗町, extendsTo, 三条通]
  • A. 3 Line
    The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
  • B. Shitou Xiqian
    Shitou Xiqian was an influential 8th-century Chinese Chan (Zen) master, renowned for his poetic teachings and as a key figure in the development of the Caodong/Sōtō Zen lineage.
  • C. Tui shou
    Tui shou is a traditional Chinese tai chi training practice involving partnered, cooperative pushing and yielding exercises to develop sensitivity, balance, and internal power.
  • D. Line 3–Red
    Line 3–Red is one of the busiest and most important lines of the São Paulo Metro, running east–west across the city and connecting key residential and commercial areas.
  • E. 呑川
    呑川は東京都世田谷区などを流れ東京湾へ注ぐ都市河川で、かつては農業用水としても利用された中小河川です。
  • 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: 三条通
Triple: [先斗町, extendsTo, 三条通]
Generated description
三条通 is a major east–west street in central Kyoto, known for its mix of traditional shops, modern cafes, and historical atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 三条通
Target entity description: 三条通 is a major east–west street in central Kyoto, known for its mix of traditional shops, modern cafes, and historical atmosphere.
  • A. 3 Line
    The 3 Line is a New York City Subway service that runs on the IRT Eastern Parkway and Lenox Avenue lines, connecting Brooklyn with Manhattan and the Bronx.
  • B. Shitou Xiqian
    Shitou Xiqian was an influential 8th-century Chinese Chan (Zen) master, renowned for his poetic teachings and as a key figure in the development of the Caodong/Sōtō Zen lineage.
  • C. Tui shou
    Tui shou is a traditional Chinese tai chi training practice involving partnered, cooperative pushing and yielding exercises to develop sensitivity, balance, and internal power.
  • D. Line 3–Red
    Line 3–Red is one of the busiest and most important lines of the São Paulo Metro, running east–west across the city and connecting key residential and commercial areas.
  • E. 呑川
    呑川は東京都世田谷区などを流れ東京湾へ注ぐ都市河川で、かつては農業用水としても利用された中小河川です。
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dcad17732c8190bbd0d73107711c99 completed April 13, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7945b63288190819621830ac1c0d6 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f796df515c819080a95621a8308629 completed May 3, 2026, 6:41 p.m.
NED2 Entity disambiguation (via description) batch_69f7976846308190b1a5c056609fca34 completed May 3, 2026, 6:43 p.m.
Created at: April 9, 2026, 9:54 p.m.