Triple

T3823058
Position Surface form Disambiguated ID Type / Status
Subject Beneš decrees E88620 entity
Predicate appliesToCitizenshipStatus P52511 FINISHED
Object collaborators with Nazi Germany LITERAL 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: collaborators with Nazi Germany | Statement: [Beneš decrees, appliesToCitizenshipStatus, collaborators with Nazi Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToCitizenshipStatus
Context triple: [Beneš decrees, appliesToCitizenshipStatus, collaborators with Nazi Germany]
  • A. mayHoldCitizenshipOf
    Indicates that an entity is allowed or eligible to possess citizenship status of a specified country or jurisdiction.
  • B. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • C. requiresCitizenship
    Indicates that one entity can only obtain, access, or participate in another entity if it holds citizenship of a specified country or jurisdiction.
  • D. hasCitizenshipRestriction
    Indicates that there is a legal or policy-based limitation on who can obtain or hold citizenship in a given context.
  • E. citizenshipType
    Indicates the specific legal category or status of an individual's citizenship in relation to a state or country.
  • F. None of above. chosen

Provenance (4 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee74a2bc081909b237df8b1e27653 completed March 9, 2026, 3:29 p.m.
PDg Predicate description generation batch_69aef18748648190b85e62f7796ff4b4 completed March 9, 2026, 4:12 p.m.
Created at: March 9, 2026, 3:17 p.m.