Triple

T14458424
Position Surface form Disambiguated ID Type / Status
Subject MOT investigative programme E358514 entity
Predicate journalisticStyle P89241 FINISHED
Object in-depth reporting 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: in-depth reporting | Statement: [MOT investigative programme, journalisticStyle, in-depth reporting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: journalisticStyle
Context triple: [MOT investigative programme, journalisticStyle, in-depth reporting]
  • A. journalismType chosen
    Indicates the specific category or style of journalism that characterizes a given journalistic work or activity.
  • B. narrativeStyle
    Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
  • C. investigativeStyle
    Indicates the manner or approach an entity uses when conducting investigations or inquiries.
  • D. reporterStyle
    Indicates that one entity presents information in the manner or stylistic approach characteristic of a reporter or journalistic reporting.
  • E. rhetoricalStyle
    Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91aabebc819097eb61b2d81c9a91 completed April 14, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69de5c42bd3c81909a62acf30cc24d1e completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:19 a.m.