Triple

T7660496
Position Surface form Disambiguated ID Type / Status
Subject Matir Moina E173490 entity
Predicate censorshipStatusChange P78620 FINISHED
Object ban later lifted in Bangladesh 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: ban later lifted in Bangladesh | Statement: [Matir Moina, censorshipStatusChange, ban later lifted in Bangladesh]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: censorshipStatusChange
Context triple: [Matir Moina, censorshipStatusChange, ban later lifted in Bangladesh]
  • A. revisedVersionCensorshipStatus
    Indicates the censorship or restriction status applied to a revised version of some original content.
  • B. censorshipAuthority
    Indicates that one entity has the official power or responsibility to censor, restrict, or approve the information, media, or expression of another entity.
  • C. censorshipStatusAtTime
    Indicates the censorship status of something at a specific point in time, capturing whether and how it was censored then.
  • D. censorshipLevel
    Indicates the degree or strictness of control, suppression, or restriction applied to information, media, or expression.
  • E. censorshipReason
    Indicates the justification or cause given for why certain content is suppressed, restricted, or removed.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7061cbc3c8190a917dd7e71214182 completed March 27, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69c7015dd8fc8190bc5f52a12bd46209 completed March 27, 2026, 10:14 p.m.
PDg Predicate description generation batch_69c7061b218c81909fff789ba4c10e58 completed March 27, 2026, 10:35 p.m.
Created at: March 27, 2026, 3:59 p.m.