Triple

T16558671
Position Surface form Disambiguated ID Type / Status
Subject 鶴舞地区 E402277 entity
Predicate transportServedBy P1298 FINISHED
Object 鶴舞駅
鶴舞駅は、名古屋市中区に位置し、JR中央本線と名古屋市営地下鉄鶴舞線が接続する交通の要所となる鉄道駅です。
E1219370 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: 鶴舞駅 | Statement: [鶴舞地区, transportServedBy, 鶴舞駅]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 鶴舞駅
Context triple: [鶴舞地区, transportServedBy, 鶴舞駅]
  • A. 高槻駅
    高槻駅は、大阪府高槻市に位置し、JR京都線(東海道本線)の主要駅として大阪・京都方面への通勤通学や乗り換えに利用される鉄道駅である。
  • B. Tsuruhashi Station
    Tsuruhashi Station is a major railway hub in Osaka, Japan, known for connecting multiple lines and serving the bustling Tsuruhashi district.
  • C. Sakaisuji-Hommachi Station
    Sakaisuji-Hommachi Station is a subway station in Osaka, Japan, serving as an interchange between the Osaka Metro Sakaisuji Line and the Chūō Line.
  • D. Hanzōmon Station
    Hanzōmon Station is a Tokyo Metro subway station in central Tokyo that serves the Hanzōmon Line and provides access to the Imperial Palace’s Hanzōmon Gate area.
  • E. Sakuradamon Station
    Sakuradamon Station is a Tokyo Metro subway station in central Tokyo, Japan, serving the area around the Imperial Palace and government offices.
  • 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: 鶴舞駅
Triple: [鶴舞地区, transportServedBy, 鶴舞駅]
Generated description
鶴舞駅は、名古屋市中区に位置し、JR中央本線と名古屋市営地下鉄鶴舞線が接続する交通の要所となる鉄道駅です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 鶴舞駅
Target entity description: 鶴舞駅は、名古屋市中区に位置し、JR中央本線と名古屋市営地下鉄鶴舞線が接続する交通の要所となる鉄道駅です。
  • A. 高槻駅
    高槻駅は、大阪府高槻市に位置し、JR京都線(東海道本線)の主要駅として大阪・京都方面への通勤通学や乗り換えに利用される鉄道駅である。
  • B. Tsuruhashi Station
    Tsuruhashi Station is a major railway hub in Osaka, Japan, known for connecting multiple lines and serving the bustling Tsuruhashi district.
  • C. Sakaisuji-Hommachi Station
    Sakaisuji-Hommachi Station is a subway station in Osaka, Japan, serving as an interchange between the Osaka Metro Sakaisuji Line and the Chūō Line.
  • D. Hanzōmon Station
    Hanzōmon Station is a Tokyo Metro subway station in central Tokyo that serves the Hanzōmon Line and provides access to the Imperial Palace’s Hanzōmon Gate area.
  • E. Sakuradamon Station
    Sakuradamon Station is a Tokyo Metro subway station in central Tokyo, Japan, serving the area around the Imperial Palace and government offices.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576bce0c819087ab36f7dec5c394 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067bcb698819092ede6ba4f8a4a2b completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a0068521c0c819093ddd51aa6f25995 completed May 10, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0068ab40d08190b8998c8f97bd34a5 completed May 10, 2026, 11:14 a.m.
Created at: April 10, 2026, 5:15 a.m.