Triple

T23351253
Position Surface form Disambiguated ID Type / Status
Subject FC Tokyo E592016 entity
Predicate cityDerby P10824 FINISHED
Object Tokyo Derby
Tokyo Derby is a fiercely contested Japanese football rivalry match between Tokyo-based clubs, most notably featuring FC Tokyo.
E1583335 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: Tokyo Derby | Statement: [FC Tokyo, cityDerby, Tokyo Derby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tokyo Derby
Context triple: [FC Tokyo, cityDerby, Tokyo Derby]
  • A. Tokyo Derby
    Tokyo Derby is a prominent Japanese horse racing event for three-year-olds, held annually as a key race in the Tokyo metropolitan racing circuit.
  • B. Shizuoka Derby
    Shizuoka Derby is a fiercely contested Japanese football rivalry match between local clubs from Shizuoka Prefecture, most notably featuring Júbilo Iwata.
  • C. Saitama Derby
    Saitama Derby is a fiercely contested Japanese football rivalry match between the clubs Omiya Ardija and Urawa Red Diamonds, both based in Saitama.
  • D. Yokohama derby
    The Yokohama derby is a local football rivalry match between professional clubs based in Yokohama, Japan, known for its intense atmosphere and city pride.
  • E. Tokyo Grand Prix
    Tokyo Grand Prix is the top prize awarded to the best film in competition at the Tokyo International Film Festival.
  • 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: Tokyo Derby
Triple: [FC Tokyo, cityDerby, Tokyo Derby]
Generated description
Tokyo Derby is a fiercely contested Japanese football rivalry match between Tokyo-based clubs, most notably featuring FC Tokyo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tokyo Derby
Target entity description: Tokyo Derby is a fiercely contested Japanese football rivalry match between Tokyo-based clubs, most notably featuring FC Tokyo.
  • A. Tokyo Derby
    Tokyo Derby is a prominent Japanese horse racing event for three-year-olds, held annually as a key race in the Tokyo metropolitan racing circuit.
  • B. Shizuoka Derby
    Shizuoka Derby is a fiercely contested Japanese football rivalry match between local clubs from Shizuoka Prefecture, most notably featuring Júbilo Iwata.
  • C. Saitama Derby
    Saitama Derby is a fiercely contested Japanese football rivalry match between the clubs Omiya Ardija and Urawa Red Diamonds, both based in Saitama.
  • D. Yokohama derby
    The Yokohama derby is a local football rivalry match between professional clubs based in Yokohama, Japan, known for its intense atmosphere and city pride.
  • E. Tokyo Grand Prix
    Tokyo Grand Prix is the top prize awarded to the best film in competition at the Tokyo International Film Festival.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a1401748190b77df0a45c2aeebf completed April 29, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5dcc2fec819095f0457c311c25b6 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c5f0188388190a76923ea497f1b04 completed May 19, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a0c5fd0c4e88190901c08e6c969e7ac completed May 19, 2026, 1:04 p.m.
Created at: April 17, 2026, 5:20 p.m.