Triple

T13801013
Position Surface form Disambiguated ID Type / Status
Subject AIK IF E331638 entity
Predicate parentOrganization P254 FINISHED
Object AIK E965133 NE FINISHED

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 | Statement: [AIK IF, parentOrganization, AIK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIK
Context triple: [AIK IF, parentOrganization, AIK]
  • 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 IF
    AIK IF is a Swedish ice hockey club based in Stockholm, known as one of the country’s most prominent and historic teams.
  • C. AIC
    AIC is the ICAO airline designator used to identify Air India in international aviation operations and communications.
  • D. AIC
    AIC is the collective term for Australia’s national intelligence agencies responsible for gathering, assessing, and disseminating security and foreign intelligence.
  • 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 (3 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ded6c8190851c108ae559a355 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8da594c81908cb878a8cc1b3a72 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.