Triple

T8686776
Position Surface form Disambiguated ID Type / Status
Subject Orma E206178 entity
Predicate ethnologueEntry P19233 FINISHED
Object Orma [orc]
Orma [orc] is an Afroasiatic language of the Cushitic branch spoken primarily by the Orma people in Kenya.
 E206178 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: Orma [orc] | Statement: [Orma, ethnologueEntry, Orma [orc]]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orma [orc]
Context triple: [Orma, ethnologueEntry, Orma [orc]]
  • A. Orma
    Orma is a major dialect of the Oromo language spoken primarily by the Orma people of Kenya.
  • B. Orkh
    Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
  • C. Orco
    The Orco is a river in northwestern Italy that flows through the Piedmont region and is a significant tributary of the Po.
  • D. Oroko
    The Oroko are an indigenous Bantu-speaking ethnic group of southwestern Cameroon, known for their rich cultural traditions, agriculture, and coastal rainforest homeland.
  • E. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • 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: Orma [orc]
Triple: [Orma, ethnologueEntry, Orma [orc]]
Generated description
Orma [orc] is an Afroasiatic language of the Cushitic branch spoken primarily by the Orma people in Kenya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orma [orc]
Target entity description: Orma [orc] is an Afroasiatic language of the Cushitic branch spoken primarily by the Orma people in Kenya.
  • A. Orma chosen
    Orma is a major dialect of the Oromo language spoken primarily by the Orma people of Kenya.
  • B. Orkh
    Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
  • C. Orco
    The Orco is a river in northwestern Italy that flows through the Piedmont region and is a significant tributary of the Po.
  • D. Oroko
    The Oroko are an indigenous Bantu-speaking ethnic group of southwestern Cameroon, known for their rich cultural traditions, agriculture, and coastal rainforest homeland.
  • E. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • F. None of above.

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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3cd888c81909fb1ece99988db36 completed April 2, 2026, 10:55 p.m.
NEDg Description generation batch_69cef52200788190a8173da1aaa4f681 completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef6c109b08190bb29ce2747f3ccb7 completed April 2, 2026, 11:07 p.m.
Created at: March 30, 2026, 6:33 p.m.