Triple

T11678998
Position Surface form Disambiguated ID Type / Status
Subject Efik language E277565 entity
Predicate closelyRelatedTo P37 FINISHED
Object Annang language
The Annang language is a Niger-Congo language spoken primarily by the Annang people of southern Nigeria, closely associated with the Ibibio-Efik linguistic cluster.
 E940515 NE FINISHED

How this triple was built (4 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: Annang language | Statement: [Efik language, closelyRelatedTo, Annang language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Annang language
Context triple: [Efik language, closelyRelatedTo, Annang language]
  • A. Ta-ang language
    The Ta-ang language is a Mon–Khmer language spoken primarily by the Ta-ang (Palaung) ethnic group in parts of Myanmar, China, and neighboring regions.
  • B. Adang language
    Adang language is a Papuan language spoken by the Adang people on Alor Island in Indonesia’s Alor archipelago.
  • C. Angas languages
    Angas languages are a group of closely related Chadic languages spoken primarily in central Nigeria.
  • D. Ahanta language
    The Ahanta language is a Niger-Congo language spoken by the Ahanta people along the coastal region of southwestern Ghana.
  • E. Anuak language
    The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Annang language
Triple: [Efik language, closelyRelatedTo, Annang language]
Generated description
The Annang language is a Niger-Congo language spoken primarily by the Annang people of southern Nigeria, closely associated with the Ibibio-Efik linguistic cluster.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Annang language
Target entity description: The Annang language is a Niger-Congo language spoken primarily by the Annang people of southern Nigeria, closely associated with the Ibibio-Efik linguistic cluster.
  • A. Ta-ang language
    The Ta-ang language is a Mon–Khmer language spoken primarily by the Ta-ang (Palaung) ethnic group in parts of Myanmar, China, and neighboring regions.
  • B. Adang language
    Adang language is a Papuan language spoken by the Adang people on Alor Island in Indonesia’s Alor archipelago.
  • C. Angas languages
    Angas languages are a group of closely related Chadic languages spoken primarily in central Nigeria.
  • D. Ahanta language
    The Ahanta language is a Niger-Congo language spoken by the Ahanta people along the coastal region of southwestern Ghana.
  • E. Anuak language
    The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
  • F. None of above. chosen

Provenance (5 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a461b0908190bef4e1c6777affcf completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14007dd08190b60640be9949ca26 completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef35527f908190b681afdae3aec319 completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51ec07ec8190b5cd97cf909388f0 completed April 27, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:40 p.m.