Triple

T8174811
Position Surface form Disambiguated ID Type / Status
Subject 小柴昌俊 E190914 entity
Predicate 出生地 P1 FINISHED
Object 愛知県豊橋市
愛知県豊橋市は、愛知県東部に位置する中核市で、工業と農業がともに盛んで交通の要衝としても知られる都市です。
 E716224 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: 愛知県豊橋市 | Statement: [小柴昌俊, 出生地, 愛知県豊橋市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 愛知県豊橋市
Context triple: [小柴昌俊, 出生地, 愛知県豊橋市]
  • A. Tokoname, Aichi Prefecture
    Tokoname, Aichi Prefecture is a coastal Japanese city on the Chita Peninsula known for its historic ceramics industry and proximity to Chubu Centrair International Airport.
  • B. Nagoya, Aichi, Japan
    Nagoya, Aichi, Japan is a major industrial and commercial city in central Japan, known as a key manufacturing hub—especially for the automotive industry—and the largest city in the Chūbu region.
  • C. Yokkaichi
    Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
  • D. Ueda City
    Ueda City is a historic regional center in eastern Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its surrounding mountainous scenery.
  • E. Tokorozawa
    Tokorozawa is a commuter city in the Greater Tokyo area of Japan, known for its residential neighborhoods, aviation history, and role as a transport hub in southern Saitama.
  • 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: 愛知県豊橋市
Triple: [小柴昌俊, 出生地, 愛知県豊橋市]
Generated description
愛知県豊橋市は、愛知県東部に位置する中核市で、工業と農業がともに盛んで交通の要衝としても知られる都市です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 愛知県豊橋市
Target entity description: 愛知県豊橋市は、愛知県東部に位置する中核市で、工業と農業がともに盛んで交通の要衝としても知られる都市です。
  • A. Tokoname, Aichi Prefecture
    Tokoname, Aichi Prefecture is a coastal Japanese city on the Chita Peninsula known for its historic ceramics industry and proximity to Chubu Centrair International Airport.
  • B. Nagoya, Aichi, Japan
    Nagoya, Aichi, Japan is a major industrial and commercial city in central Japan, known as a key manufacturing hub—especially for the automotive industry—and the largest city in the Chūbu region.
  • C. Yokkaichi
    Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
  • D. Ueda City
    Ueda City is a historic regional center in eastern Nagano Prefecture, Japan, known for Ueda Castle, samurai heritage, and its surrounding mountainous scenery.
  • E. Tokorozawa
    Tokorozawa is a commuter city in the Greater Tokyo area of Japan, known for its residential neighborhoods, aviation history, and role as a transport hub in southern Saitama.
  • 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb480a7ac4819088fabd5bec6ba2e5 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf6d4ba881908f1bac9cce6cc29d completed April 1, 2026, 6:47 a.m.
NEDg Description generation batch_69ccc313ba7c81909b9ee65b37ed165e completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd84893488190ae5376524650d5c4 completed April 1, 2026, 8:33 a.m.
Created at: March 30, 2026, 5:40 p.m.