Triple

T11585901
Position Surface form Disambiguated ID Type / Status
Subject Ohi Racecourse E274752 entity
Predicate alsoKnownAs P39 FINISHED
Object TCK
TCK is a well-known horse racing track in Tokyo, Japan, officially known as Ohi Racecourse.
 E934921 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: TCK | Statement: [Ohi Racecourse, alsoKnownAs, TCK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TCK
Context triple: [Ohi Racecourse, alsoKnownAs, TCK]
  • A. TCH
    TCH was the International Ice Hockey Federation (IIHF) country code used to represent the Czechoslovakia men's national ice hockey team in international competition.
  • B. TCC
    TCC is a public community college in Tallahassee, Florida, offering two-year degrees, workforce training, and transfer programs to four-year universities.
  • C. TCC
    TCC is a prominent theoretical cryptography conference that focuses on foundational research in cryptographic theory and related areas of computer science.
  • D. TCC
    TCC is the commonly used abbreviation for the Tax Court of Canada, a federal court that specializes in resolving tax-related disputes between taxpayers and the Canadian government.
  • E. TCC
    TCC is the commonly used abbreviation for the Taipei City Council, the elected municipal legislature of Taipei, Taiwan.
  • 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: TCK
Triple: [Ohi Racecourse, alsoKnownAs, TCK]
Generated description
TCK is a well-known horse racing track in Tokyo, Japan, officially known as Ohi Racecourse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TCK
Target entity description: TCK is a well-known horse racing track in Tokyo, Japan, officially known as Ohi Racecourse.
  • A. TCH
    TCH was the International Ice Hockey Federation (IIHF) country code used to represent the Czechoslovakia men's national ice hockey team in international competition.
  • B. TCC
    TCC is a public community college in Tallahassee, Florida, offering two-year degrees, workforce training, and transfer programs to four-year universities.
  • C. TCC
    TCC is a prominent theoretical cryptography conference that focuses on foundational research in cryptographic theory and related areas of computer science.
  • D. TCC
    TCC is the commonly used abbreviation for the Taipei City Council, the elected municipal legislature of Taipei, Taiwan.
  • E. TCC
    The TCC is a specialist court in England and Wales that handles complex technology, engineering, and construction disputes.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89462203881908870e991a5b21770 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7143ee0548190b71ddae0ab7c68cb completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720fb192881909c129f93c8b88f42 completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e7233efb6c81909dbf1aef080f5598 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.