Triple

T31954152
Position Surface form Disambiguated ID Type / Status
Subject Lagos incident E815858 entity
Predicate mediaCoverageInUniverse P179067 FINISHED
Object global news event 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: global news event | Statement: [Lagos incident, mediaCoverageInUniverse, global news event]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediaCoverageInUniverse
Context triple: [Lagos incident, mediaCoverageInUniverse, global news event]
  • A. mediaCoverageAs
    Indicates that one entity provides or receives media coverage in the role, capacity, or format specified by another entity.
  • B. mediaCoverage
    Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
  • C. mediaCoverageFocus
    Indicates the primary topic, subject, or aspect that media coverage is centered on or emphasizes.
  • D. mediaCoverageContext
    Indicates the situational background, circumstances, or framing within which media coverage of an entity, event, or issue takes place.
  • E. mediaCovered
    Indicates that one entity (such as a media outlet or source) has reported on, featured, or otherwise provided coverage of another entity or event.
  • 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_69f348f4ec708190abbb2a7c3ed58844 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f719cc31ec819099bebcf833b14d76 completed May 3, 2026, 9:47 a.m.
PD Predicate disambiguation batch_69f71820c6c88190ab38b4fa626d22cc completed May 3, 2026, 9:40 a.m.
PDg Predicate description generation batch_69f71995853c8190912025c0e83640c8 completed May 3, 2026, 9:47 a.m.
Created at: May 1, 2026, 12:08 a.m.