Triple

T1195071
Position Surface form Disambiguated ID Type / Status
Subject CONCACAF U-17 Championship E25649 entity
Predicate abbreviation P43 FINISHED
Object CU17
CU17 is the official abbreviation for the CONCACAF Under-17 Championship, a regional youth football tournament for national teams in North and Central America and the Caribbean.
E137270 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: CU17 | Statement: [CONCACAF U-17 Championship, abbreviation, CU17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CU17
Context triple: [CONCACAF U-17 Championship, abbreviation, CU17]
  • A. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • B. UKL17
    UKL17 is the NUTS statistical region code designating the Neath Port Talbot area in Wales, United Kingdom.
  • C. UCH
    UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
  • D. UCLS
    UCLS is a renowned private day school in Chicago affiliated with the University of Chicago, known for its progressive education and strong academic programs from nursery through high school.
  • E. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • 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: CU17
Triple: [CONCACAF U-17 Championship, abbreviation, CU17]
Generated description
CU17 is the official abbreviation for the CONCACAF Under-17 Championship, a regional youth football tournament for national teams in North and Central America and the Caribbean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CU17
Target entity description: CU17 is the official abbreviation for the CONCACAF Under-17 Championship, a regional youth football tournament for national teams in North and Central America and the Caribbean.
  • A. CU
    CU is the two-letter ISO 3166-1 alpha-2 country code assigned to Cuba.
  • B. UKL17
    UKL17 is the NUTS statistical region code designating the Neath Port Talbot area in Wales, United Kingdom.
  • C. UCH
    UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
  • D. UCLS
    UCLS is a renowned private day school in Chicago affiliated with the University of Chicago, known for its progressive education and strong academic programs from nursery through high school.
  • E. U1
    U1 is a major line of the Nuremberg U-Bahn rapid transit system, connecting key districts across the Nuremberg metropolitan area.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd78f61c8190bdba2255d35a8fe4 completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7650de3c8190b2c246436a3d25b1 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac76e2df308190807cc6b7d7555e69 completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac77585c708190b5f4b239d9574cd7 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:46 p.m.