Triple

T21715730
Position Surface form Disambiguated ID Type / Status
Subject 高崎線 E536023 entity
Predicate 路線名の由来 P26273 FINISHED
Object 高崎市
高崎市は群馬県南部に位置し、交通の要衝として発展してきた中核市であり、高崎線の名称の由来ともなった都市である。
E1497806 NE FINISHED

How this triple was built (5 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: 高崎市 | Statement: [高崎線, 路線名の由来, 高崎市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 高崎市
Context triple: [高崎線, 路線名の由来, 高崎市]
  • A. 奥州市
    奥州市は、日本の岩手県南部に位置し、歴史的な遺跡や農業が盛んな内陸の市です。
  • B. 仙台市
    仙台市は、東北地方最大の都市であり、宮城県の県庁所在地として経済・文化・教育の中心地となっている都市です。
  • C. 高槻市
    高槻市は、大阪府北部に位置し、京都と大阪の中間にあるベッドタウン兼商工業都市です。
  • D. 前橋市
    前橋市は、群馬県の県庁所在地であり、利根川沿いに位置する内陸工業都市です。
  • E. 川越市
    川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
  • 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: 高崎市
Triple: [高崎線, 路線名の由来, 高崎市]
Generated description
高崎市は群馬県南部に位置し、交通の要衝として発展してきた中核市であり、高崎線の名称の由来ともなった都市である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 高崎市
Target entity description: 高崎市は群馬県南部に位置し、交通の要衝として発展してきた中核市であり、高崎線の名称の由来ともなった都市である。
  • A. 奥州市
    奥州市は、日本の岩手県南部に位置し、歴史的な遺跡や農業が盛んな内陸の市です。
  • B. 仙台市
    仙台市は、東北地方最大の都市であり、宮城県の県庁所在地として経済・文化・教育の中心地となっている都市です。
  • C. 高槻市
    高槻市は、大阪府北部に位置し、京都と大阪の中間にあるベッドタウン兼商工業都市です。
  • D. 前橋市
    前橋市は、群馬県の県庁所在地であり、利根川沿いに位置する内陸工業都市です。
  • E. 川越市
    川越市 is a historic city in Saitama Prefecture, Japan, famed for its well-preserved Edo-period streetscapes and traditional warehouse-style buildings that have earned it the nickname "Little Edo."
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 路線名の由来
Context triple: [高崎線, 路線名の由来, 高崎市]
  • A. hasStreetNameOrigin
    Indicates that the origin or source of a street’s name is specified or linked to a particular cause, person, event, or feature.
  • B. lineName
    Indicates the specific name or designation assigned to a particular line (such as a route, path, or service) that distinguishes it from other lines.
  • C. valleyNameDerivedFrom
    Indicates that the name of a valley is derived from, or based on, another specified source (such as a person, place, language term, or feature).
  • D. railLineOrigin chosen
    Indicates that a rail line begins or originates from a specified location or point.
  • E. formerLineName
    Indicates that the object is a previous or former name by which the referenced line was known.
  • F. None of above.

Provenance (6 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efb53761b48190954a46e8155a84f0 completed April 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24b38cc08190b765e50d5135a932 completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a25d1c95c8190a4140c494ac0a8f7 completed May 17, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0a268dd6c4819081c1bf83513bb8b8 completed May 17, 2026, 8:35 p.m.
PD Predicate disambiguation batch_69e6969725bc81908e7ad19619ba2688 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:47 p.m.