Triple

T2603469
Position Surface form Disambiguated ID Type / Status
Subject Hillsborough disaster E58597 entity
Predicate mediaCoverageControversy P39578 FINISHED
Object The Sun newspaper coverage 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: The Sun newspaper coverage | Statement: [Hillsborough disaster, mediaCoverageControversy, The Sun newspaper coverage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediaCoverageControversy
Context triple: [Hillsborough disaster, mediaCoverageControversy, The Sun newspaper coverage]
  • A. mediaCoverage
    Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
  • B. mediaCoverageAs
    Indicates that one entity provides or receives media coverage in the role, capacity, or format specified by another entity.
  • C. mediaCoverageReason
    Indicates the reason or justification for which a particular subject, event, or entity is being covered or reported on by the media.
  • D. 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.
  • E. mediaAttentionLevel
    Indicates the degree or intensity of attention or coverage that media outlets give to a particular subject or entity.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd48241c48190bc80418212e33bc8 completed March 7, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69abd0d4e8648190b612eb09aa085451 completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd1c7b6e48190be9a0c31069df797 completed March 7, 2026, 7:20 a.m.
Created at: March 6, 2026, 9:49 p.m.