Triple

T29387950
Position Surface form Disambiguated ID Type / Status
Subject Basque conflict E745300 entity
Predicate casualtiesInclude P20149 FINISHED
Object civilians 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: civilians | Statement: [Basque conflict, casualtiesInclude, civilians]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: casualtiesInclude
Context triple: [Basque conflict, casualtiesInclude, civilians]
  • A. casualtiesIncluded chosen
    Indicates that the referenced count or report of casualties explicitly includes the specified individuals or groups.
  • B. casualties
    Indicates that an event, action, or situation resulted in people being killed or injured.
  • C. casualtiesDescription
    Indicates a textual description of the human losses (such as deaths, injuries, or missing persons) resulting from an event or incident.
  • D. primaryCasualtiesFrom
    Indicates that an entity is the main source or cause of the casualties experienced by another entity.
  • E. secondaryCasualtiesFrom
    Indicates that an entity experiences indirect or collateral harm as a consequence of another primary event or source.
  • 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_69f0a79cfd5481909b4dde750cb8d2c6 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669d44b7c8190a79e108c68a7077a completed May 2, 2026, 9:17 p.m.
PD Predicate disambiguation batch_69f66339175c819080bd70f0ff7057b1 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 2:40 p.m.