Triple

T13397841
Position Surface form Disambiguated ID Type / Status
Subject Thomas Frank E319745 entity
Predicate leagueManagedIn P3235 FINISHED
Object Danish Superliga E888851 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: Danish Superliga | Statement: [Thomas Frank, leagueManagedIn, Danish Superliga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danish Superliga
Context triple: [Thomas Frank, leagueManagedIn, Danish Superliga]
  • A. Danish Superliga chosen
    The Danish Superliga is the top professional football league in Denmark, featuring the country’s highest-level clubs competing for the national championship and European qualification.
  • B. Metal Ligaen
    Metal Ligaen is Denmark's premier professional ice hockey league, featuring top Danish teams competing for the national championship.
  • C. Danish Cup
    The Danish Cup is Denmark's premier national knockout football tournament, contested annually by clubs from across the country's league system.
  • D. Eliteserien
    Eliteserien is the top professional football league in Norway, featuring the country’s highest-level clubs in the sport.
  • E. Danish Division
    The Danish Division is a major operational-level formation of the Royal Danish Army responsible for commanding and coordinating multiple brigades and support units in national defense and international operations.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d9e7348190844e11dd6cbd13b0 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73071c0b88190bca3b15ea11c7491 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.