Triple

T19822353
Position Surface form Disambiguated ID Type / Status
Subject AIK Fotboll E476225 entity
Predicate hasYouthAcademy P6626 FINISHED
Object AIK youth academy NE NERFINISHED

How this triple was built (2 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: AIK youth academy | Statement: [AIK Fotboll, hasYouthAcademy, AIK youth academy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIK youth academy
Context triple: [AIK Fotboll, hasYouthAcademy, AIK youth academy]
  • A. AIK chosen
    AIK is a major Swedish sports club from Stockholm best known for its successful football team competing in the country’s top division.
  • B. AIK
    AIK is the FAA location identifier for Aiken Regional Airport in South Carolina, United States.
  • C. AIK IF
    AIK IF is a Swedish ice hockey club based in Stockholm, known as one of the country’s most prominent and historic teams.
  • D. Ajax Youth Academy
    Ajax Youth Academy is the renowned youth development system of Dutch football club AFC Ajax, famous for producing many world-class players through its emphasis on technical skill and attacking play.
  • E. AIU
    AIU (Association of Indian Universities) is a national organization in India that represents and coordinates the activities of universities, promoting higher education standards and inter-university collaboration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654ffb37c8190be540a793befe16c completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.