Triple

T3298857
Position Surface form Disambiguated ID Type / Status
Subject Geʽez script E69281 entity
Predicate usedForLanguage P907 FINISHED
Object Anuak language
The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
 E347537 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: Anuak language | Statement: [Geʽez script, usedForLanguage, Anuak language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anuak language
Context triple: [Geʽez script, usedForLanguage, Anuak language]
  • A. Anakalangu language
    The Anakalangu language is an Austronesian language spoken by communities on the island of Sumba in eastern Indonesia.
  • B. Angkola language
    Angkola language is an Austronesian language of the Batak group spoken primarily by the Angkola people in North Sumatra, Indonesia.
  • C. Avokaya language
    The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
  • D. Aaniiih language
    The Aaniiih language is an Algonquian language traditionally spoken by the Aaniiih (Gros Ventre) people of the northern Plains in the United States and is currently endangered.
  • E. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of 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: Anuak language
Triple: [Geʽez script, usedForLanguage, Anuak language]
Generated description
The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anuak language
Target entity description: The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
  • A. Anakalangu language
    The Anakalangu language is an Austronesian language spoken by communities on the island of Sumba in eastern Indonesia.
  • B. Angkola language
    Angkola language is an Austronesian language of the Batak group spoken primarily by the Angkola people in North Sumatra, Indonesia.
  • C. Avokaya language
    The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
  • D. Aaniiih language
    The Aaniiih language is an Algonquian language traditionally spoken by the Aaniiih (Gros Ventre) people of the northern Plains in the United States and is currently endangered.
  • E. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a49b748190b6db99a85c3cb3c5 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3d759908190b1f5170930ff03c5 completed March 12, 2026, 5:11 p.m.
NEDg Description generation batch_69b2f9ec098c8190aaa763d7b9c5cceb completed March 12, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69b316408090819090a4792b3d5185f0 completed March 12, 2026, 7:38 p.m.
Created at: March 8, 2026, 3:11 p.m.