Triple

T5966723
Position Surface form Disambiguated ID Type / Status
Subject Battle of Königsberg E132770 entity
Predicate sovietCasualties P6773 FINISHED
Object tens of thousands killed or wounded 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: tens of thousands killed or wounded | Statement: [Battle of Königsberg, sovietCasualties, tens of thousands killed or wounded]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sovietCasualties
Context triple: [Battle of Königsberg, sovietCasualties, tens of thousands killed or wounded]
  • A. SovietEquipmentLosses
    Indicates the extent or instances of military equipment lost by Soviet forces in a given conflict or period.
  • B. militaryCasualtiesEstimate chosen
    Indicates an estimated number of people killed, wounded, or missing as a result of military conflict or operations.
  • C. SovietOperation
    Indicates that an operation, mission, or organized activity is conducted by, on behalf of, or under the authority of the Soviet Union or its institutions.
  • D. SovietFront
    Indicates a military relationship where a unit, operation, or event is associated with or occurs on a Soviet military front (a major wartime operational formation).
  • E. PolishCasualties
    Indicates the number or extent of casualties suffered by Polish forces or population in a given conflict or event.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03fb7f8a88190a8bd45208bda4a03 completed March 22, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69c0335a635881909c58c1ef0f97f1e8 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:03 p.m.