Triple

T36507435
Position Surface form Disambiguated ID Type / Status
Subject She No Longer Weeps E899505 entity
Predicate workLanguageRegion P145769 FINISHED
Object Anglophone Africa
Anglophone Africa refers to the African countries and regions where English is an official or dominant language, shaping their education, media, and cultural production.
 E2187978 NE FINISHED

How this triple was built (3 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: Anglophone Africa | Statement: [She No Longer Weeps, workLanguageRegion, Anglophone Africa]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anglophone Africa
Triple: [She No Longer Weeps, workLanguageRegion, Anglophone Africa]
Generated description
Anglophone Africa refers to the African countries and regions where English is an official or dominant language, shaping their education, media, and cultural production.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: workLanguageRegion
Context triple: [She No Longer Weeps, workLanguageRegion, Anglophone Africa]
  • A. subjectLanguageRegion chosen
    Indicates that the subject is associated with or uses a language specific to a particular geographic region.
  • B. regionLanguage
    Indicates that a particular language is used or officially recognized within a specific geographic region.
  • C. languageArea
    Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
  • D. alsoInLanguageRegion
    Indicates that two or more entities are located within or associated with the same language-defined geographic region.
  • E. workLanguageVariant
    Indicates that one language variant of a work is related to another version of the same work, typically differing by language or localization.
  • F. None of above.

Provenance (6 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_69f76e5b92088190933afda3f7531dd4 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c371931c8190afb1d4dd5157f92c completed May 3, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39dbd567448190b9e3e3aa8ec774c5 completed June 23, 2026, 1:05 a.m.
NEDg Description generation batch_6a39dd5a787c819089c278f86de8078c completed June 23, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_6a39e17cb03c8190830fe006a9dd4455 completed June 23, 2026, 1:29 a.m.
PD Predicate disambiguation batch_69f7c1b91fd88190ab85afd626603769 completed May 3, 2026, 9:44 p.m.
Created at: May 3, 2026, 4:10 p.m.