Triple

T6023459
Position Surface form Disambiguated ID Type / Status
Subject Katyn war cemetery E134117 entity
Predicate associatedCountryOfVictims P53564 FINISHED
Object Poland E5029 NE FINISHED

How this triple was built (3 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: Poland | Statement: [Katyn war cemetery, associatedCountryOfVictims, Poland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poland
Context triple: [Katyn war cemetery, associatedCountryOfVictims, Poland]
  • A. Poland chosen
    Poland is a Central European country known for its rich medieval heritage, resilient culture, and pivotal role in 20th-century history, including being the site of the outbreak of World War II.
  • B. Polonia
    Polonia refers to the global community of people of Polish origin living outside Poland, encompassing their cultural, social, and political organizations worldwide.
  • C. Polón
    Polón is a Finnish surname most notably associated with Eduard Polón, an industrialist and co-founder of the company that became part of Nokia.
  • D. Poland and Czech Republic
    Poland and the Czech Republic are neighboring Central European countries known for their shared history, cultural ties, and extensive cross-border rail connections.
  • E. Poland and Germany
    Poland and Germany are neighboring Central European countries with deep historical ties and extensive cross-border economic, cultural, and transportation connections.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedCountryOfVictims
Context triple: [Katyn war cemetery, associatedCountryOfVictims, Poland]
  • A. affectedCountry
    Indicates that a particular country is impacted or influenced by an event, action, or condition.
  • B. countryMostVictimsFrom chosen
    Indicates the country from which the largest number of victims in a given event, situation, or context originate.
  • C. mainVictims
    Indicates that the related entities are the primary or principal targets harmed or affected by an action, event, or perpetrator.
  • D. belligerentSideOfVictims
    Indicates that the referenced party is the side or faction to which the victims in a conflict or hostile situation belong.
  • E. notableVictims
    Indicates that the object is a person or group who is especially well-known or significant as a victim of the subject.
  • F. None of above.

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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fbd7978819085d683578bc62aa3 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113585ad88190a35d549448b10def completed March 23, 2026, 10:18 a.m.
PD Predicate disambiguation batch_69c049e75b3881908be106fbcf8c68d4 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:07 p.m.