Triple

T5176322
Position Surface form Disambiguated ID Type / Status
Subject Battle of Helsingborg E116806 entity
Predicate DanishCasualtiesApprox P62183 FINISHED
Object about 5,000–6,000 killed, wounded and captured 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: about 5,000–6,000 killed, wounded and captured | Statement: [Battle of Helsingborg, DanishCasualtiesApprox, about 5,000–6,000 killed, wounded and captured]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: DanishCasualtiesApprox
Context triple: [Battle of Helsingborg, DanishCasualtiesApprox, about 5,000–6,000 killed, wounded and captured]
  • A. approximateNorwegianCasualties
    Indicates an estimated or rough count of Norwegian casualties resulting from a particular event or situation.
  • B. dutchCasualties
    Indicates that the relationship specifies the number or occurrence of casualties suffered by Dutch entities in a given event or context.
  • C. SwedishCasualties
    Indicates the number or extent of casualties suffered by Swedish forces or individuals in a given event or context.
  • D. militaryCasualtiesEstimate
    Indicates an estimated number of people killed, wounded, or missing as a result of military conflict or operations.
  • E. numberOfGermanVictims
    Indicates the quantity of victims who are identified as German in the context of the described event or situation.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd797349008190b87ad9d0d3eb667f completed March 20, 2026, 4:44 p.m.
PD Predicate disambiguation batch_69bd77b529948190b86671ebe43f4734 completed March 20, 2026, 4:37 p.m.
PDg Predicate description generation batch_69bd79251b548190918a1eb930e24c22 completed March 20, 2026, 4:43 p.m.
Created at: March 20, 2026, 1:45 p.m.