Triple

T12734233
Position Surface form Disambiguated ID Type / Status
Subject Siege of Mariupol (2022) E304319 entity
Predicate allegedWarCrimes P95406 FINISHED
Object indiscriminate shelling of civilian areas 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: indiscriminate shelling of civilian areas | Statement: [Siege of Mariupol (2022), allegedWarCrimes, indiscriminate shelling of civilian areas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allegedWarCrimes
Context triple: [Siege of Mariupol (2022), allegedWarCrimes, indiscriminate shelling of civilian areas]
  • A. warCrimesContext
    Indicates a context in which actions or events are associated with the commission, investigation, or adjudication of war crimes.
  • B. associatedWithCrimesAgainstHumanity
    Indicates a relationship in which an entity is linked or connected to the planning, commission, support, or responsibility for crimes against humanity.
  • C. natureOfAtrocities chosen
    Indicates the specific type or character of atrocities associated with an event, action, or entity.
  • D. allegedToHaveKilled
    Indicates that one entity is claimed or accused, but not proven, to have killed another entity.
  • E. allegedVictimOf
    Indicates that one entity is claimed or reported to have been harmed, wronged, or victimized by another entity, without asserting that the claim is proven.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d89ea70819098c470344f172167 completed April 10, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69d96403957c81909acdee7bdae71696 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:26 p.m.