Triple

T95628
Position Surface form Disambiguated ID Type / Status
Subject International Committee of the Red Cross E1923 entity
Predicate hasMainMission P1415 FINISHED
Object protection of victims of armed conflict 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: protection of victims of armed conflict | Statement: [International Committee of the Red Cross, hasMainMission, protection of victims of armed conflict]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainMission
Context triple: [International Committee of the Red Cross, hasMainMission, protection of victims of armed conflict]
  • A. hasMissionActivity
    Indicates that an entity is associated with, performs, or is involved in a specific mission-related activity.
  • B. hasPrimaryGoal chosen
    Indicates that an entity’s main or most important objective is the specified goal.
  • C. mission
    Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
  • D. hasMainOrgan
    Indicates that an entity possesses a primary or principal organ that plays a central role in its biological or functional system.
  • E. hasChallenge
    Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a250cb400c8190b56343bbe19b48c7 completed Feb. 28, 2026, 2:19 a.m.
PD Predicate disambiguation batch_69a24ebd19c48190bab291fea0ecc0c2 completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.