Triple

T14539479
Position Surface form Disambiguated ID Type / Status
Subject technology compatibility kit E341130 entity
Predicate alternativeName P39 FINISHED
Object TCK
TCK is a suite of tests, tools, and documentation used to verify that a technology implementation complies with a specific Java or Jakarta EE specification.
 E1104003 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: [technology compatibility kit, alternativeName, TCK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TCK
Context triple: [technology compatibility kit, alternativeName, TCK]
  • A. TCK
    TCK is a well-known horse racing track in Tokyo, Japan, officially known as Ohi Racecourse.
  • B. 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.
  • C. TCC
    TCC is a public community college in Tallahassee, Florida, offering two-year degrees, workforce training, and transfer programs to four-year universities.
  • D. TCC
    TCC is a prominent theoretical cryptography conference that focuses on foundational research in cryptographic theory and related areas of computer science.
  • 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: [technology compatibility kit, alternativeName, TCK]
Generated description
TCK is a suite of tests, tools, and documentation used to verify that a technology implementation complies with a specific Java or Jakarta EE specification.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TCK
Target entity description: TCK is a suite of tests, tools, and documentation used to verify that a technology implementation complies with a specific Java or Jakarta EE specification.
  • A. TCK
    TCK is a well-known horse racing track in Tokyo, Japan, officially known as Ohi Racecourse.
  • B. 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.
  • C. TCC
    TCC is a public community college in Tallahassee, Florida, offering two-year degrees, workforce training, and transfer programs to four-year universities.
  • D. TCC
    TCC is a prominent theoretical cryptography conference that focuses on foundational research in cryptographic theory and related areas of computer science.
  • 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

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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7b1452d48190b95187cc6b6e5b6a completed May 8, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd7b9387988190abb20ea06c04d6cc completed May 8, 2026, 5:58 a.m.
Created at: April 10, 2026, 1:22 a.m.