Triple

T7944960
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Verdy E184476 entity
Predicate formerName P65 FINISHED
Object Verdy Kawasaki
Verdy Kawasaki was the former name of Tokyo Verdy, one of Japan’s most historic professional football clubs.
E697632 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: Verdy Kawasaki | Statement: [Tokyo Verdy, formerName, Verdy Kawasaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verdy Kawasaki
Context triple: [Tokyo Verdy, formerName, Verdy Kawasaki]
  • A. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • B. Kawasaki
    Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
  • C. Yoshimura
    Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • D. Kawasaki Frontale
    Kawasaki Frontale is a professional Japanese football club based in Kawasaki, Kanagawa, known for its recent dominance in the J1 League and attacking style of play.
  • E. Nagoya Arsenal
    Nagoya Arsenal was a major Imperial Japanese military manufacturing facility known for producing small arms and other weaponry, particularly during the early to mid-20th century.
  • 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: Verdy Kawasaki
Triple: [Tokyo Verdy, formerName, Verdy Kawasaki]
Generated description
Verdy Kawasaki was the former name of Tokyo Verdy, one of Japan’s most historic professional football clubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Verdy Kawasaki
Target entity description: Verdy Kawasaki was the former name of Tokyo Verdy, one of Japan’s most historic professional football clubs.
  • A. Yuasa
    Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
  • B. Kawasaki
    Kawasaki is a major industrial and residential city in Kanagawa Prefecture, Japan, located between Tokyo and Yokohama along the Tama River.
  • C. Yoshimura
    Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
  • D. Kawasaki Frontale
    Kawasaki Frontale is a professional Japanese football club based in Kawasaki, Kanagawa, known for its recent dominance in the J1 League and attacking style of play.
  • E. Nagoya Arsenal
    Nagoya Arsenal was a major Imperial Japanese military manufacturing facility known for producing small arms and other weaponry, particularly during the early to mid-20th century.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b285d3881909b2ac0b395538a8a completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c19168c8190a42d9c679fe35c40 completed March 31, 2026, 5:31 a.m.
NEDg Description generation batch_69cb5f23d11c8190a29f28337f1db419 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76d595508190abc7c542caf3f210 completed March 31, 2026, 7:25 a.m.
Created at: March 30, 2026, 5:09 p.m.