Triple

T2806274
Position Surface form Disambiguated ID Type / Status
Subject Battle of Vienna (American Civil War) E54059 entity
Predicate casualtiesUnion P43331 FINISHED
Object several killed and 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: several killed and wounded | Statement: [Battle of Vienna (American Civil War), casualtiesUnion, several killed and wounded]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: casualtiesUnion
Context triple: [Battle of Vienna (American Civil War), casualtiesUnion, several killed and wounded]
  • A. englishCasualtiesKilledAndWounded
    Indicates the number of English individuals who were either killed or wounded as a result of a particular event or conflict.
  • B. casualtiesAllied
    Indicates the number or extent of losses (killed, wounded, or missing) suffered by allied forces in a conflict or incident.
  • C. casualtiesUKKilled
    Indicates that the relationship specifies the number of people from the UK who were killed in the referenced event or incident.
  • D. coalitionCasualties
    Indicates that members of a coalition have suffered deaths or injuries as a result of a particular conflict, event, or action.
  • E. casualties_British_side
    Indicates the number or extent of casualties suffered by the British side in a conflict or incident.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
PD Predicate disambiguation batch_69abdd059f308190853191f6ffe2bc6f completed March 7, 2026, 8:08 a.m.
PDg Predicate description generation batch_69abde2cdcc48190827195d3ae70aa19 completed March 7, 2026, 8:13 a.m.
Created at: March 6, 2026, 9:59 p.m.