Triple

T16364995
Position Surface form Disambiguated ID Type / Status
Subject Gurage people E397411 entity
Predicate nativeLanguage P151 FINISHED
Object Sebat Bet Gurage language
Sebat Bet Gurage is an Ethiopian Semitic language spoken primarily by the Gurage people in central Ethiopia.
 E1208510 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: Sebat Bet Gurage language | Statement: [Gurage people, nativeLanguage, Sebat Bet Gurage language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sebat Bet Gurage language
Context triple: [Gurage people, nativeLanguage, Sebat Bet Gurage language]
  • A. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • B. Semaq Beri language
    Semaq Beri is an Aslian Austroasiatic language spoken by the indigenous Semaq Beri people of Peninsular Malaysia.
  • C. Abu Arapesh language
    The Abu Arapesh language is a Papuan language of the Arapesh people of Papua New Guinea, known for its complex noun classification and rich verbal morphology.
  • D. Gurene language
    The Gurene language is a Gur language spoken primarily by the Frafra people in northern Ghana and parts of Burkina Faso.
  • E. Blagar language
    Blagar language is a Papuan language spoken by communities on Pura and nearby islands in Indonesia’s Alor archipelago.
  • 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: Sebat Bet Gurage language
Triple: [Gurage people, nativeLanguage, Sebat Bet Gurage language]
Generated description
Sebat Bet Gurage is an Ethiopian Semitic language spoken primarily by the Gurage people in central Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sebat Bet Gurage language
Target entity description: Sebat Bet Gurage is an Ethiopian Semitic language spoken primarily by the Gurage people in central Ethiopia.
  • A. Gura language
    The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
  • B. Semaq Beri language
    Semaq Beri is an Aslian Austroasiatic language spoken by the indigenous Semaq Beri people of Peninsular Malaysia.
  • C. Abu Arapesh language
    The Abu Arapesh language is a Papuan language of the Arapesh people of Papua New Guinea, known for its complex noun classification and rich verbal morphology.
  • D. Gurene language
    The Gurene language is a Gur language spoken primarily by the Frafra people in northern Ghana and parts of Burkina Faso.
  • E. Blagar language
    Blagar language is a Papuan language spoken by communities on Pura and nearby islands in Indonesia’s Alor archipelago.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3bb5e481909669164a37d76b19 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc0b3d4819089e6fba536ec8a11 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f35af8081908ea9c3d0a991c396 completed May 10, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a002fa14ee4819080b02b368c0080b9 completed May 10, 2026, 7:11 a.m.
Created at: April 10, 2026, 5:08 a.m.