Triple

T36802655
Position Surface form Disambiguated ID Type / Status
Subject German-occupied Hungary E909361 entity
Predicate collaboratingGovernment P87176 FINISHED
Object Government of Döme Sztójay 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: Government of Döme Sztójay | Statement: [German-occupied Hungary, collaboratingGovernment, Government of Döme Sztójay]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collaboratingGovernment
Context triple: [German-occupied Hungary, collaboratingGovernment, Government of Döme Sztójay]
  • A. partnerInGovernmentWith
    Indicates that two entities share a formal partnership or coalition role within the same governmental structure or administration.
  • B. governmentPartner chosen
    Indicates that one entity collaborates with or is formally partnered with a government or governmental body in some capacity.
  • C. collaboratingAgencies
    Indicates that multiple agencies are working together in a coordinated manner toward shared goals or activities.
  • D. coordinatesGovernmentOf
    Indicates that one entity organizes, directs, or manages the functioning or activities of a government or governing body of another entity.
  • E. includeGovernmentOf
    Indicates that one entity contains, encompasses, or incorporates the government of another entity as part of its structure or scope.
  • F. None of above.

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_69f76e7b98888190899b6478a82ad6ae completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd6834cc8190aa27153d6a99f3bb completed May 5, 2026, 2:23 p.m.
PD Predicate disambiguation batch_69f7cf7890008190a8bc355ff2d61c86 completed May 3, 2026, 10:43 p.m.
Created at: May 3, 2026, 4:12 p.m.