Triple

T31954159
Position Surface form Disambiguated ID Type / Status
Subject Lagos incident E815858 entity
Predicate notableCivilianVictimGroup P19083 FINISHED
Object Wakandan humanitarian workers 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: Wakandan humanitarian workers | Statement: [Lagos incident, notableCivilianVictimGroup, Wakandan humanitarian workers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableCivilianVictimGroup
Context triple: [Lagos incident, notableCivilianVictimGroup, Wakandan humanitarian workers]
  • A. notableVictims chosen
    Indicates that the object is a person or group who is especially well-known or significant as a victim of the subject.
  • B. notableVictim
    Indicates that the subject is a person or entity who is notably recognized as a victim of the object (such as an event, crime, or harmful action).
  • C. notableVictimNationality
    Indicates that the relationship specifies the nationality of a notable victim associated with an event, incident, or action.
  • D. mainVictims
    Indicates that the related entities are the primary or principal targets harmed or affected by an action, event, or perpetrator.
  • E. memorializesVictimsFrom
    Indicates that something serves as a memorial specifically honoring victims originating from a particular place or event.
  • 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_69f348f4ec708190abbb2a7c3ed58844 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379eaa540819095a1c5d9f3513f9b completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 12:08 a.m.