Triple

T4126780
Position Surface form Disambiguated ID Type / Status
Subject Nama people E92744 entity
Predicate language P15 FINISHED
Object Nama language
Nama language is a Khoe (Khoisan) language of southern Africa, primarily spoken by the Nama people in Namibia and neighboring regions.
 E414989 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: Nama language | Statement: [Nama people, language, Nama language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nama language
Context triple: [Nama people, language, Nama language]
  • A. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • B. Nembe language
    The Nembe language is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
  • C. Anyin language
    The Anyin language is a Niger-Congo language spoken primarily in Côte d'Ivoire and Ghana by the Anyin people, closely related to Baoulé and other Central Tano languages.
  • D. Naoero language
    The Naoero language is an Austronesian language spoken by the indigenous population of the Pacific island nation of Nauru.
  • E. Uma language
    Uma is an Austronesian language of the Celebic subgroup spoken primarily in Central Sulawesi, Indonesia.
  • 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: Nama language
Triple: [Nama people, language, Nama language]
Generated description
Nama language is a Khoe (Khoisan) language of southern Africa, primarily spoken by the Nama people in Namibia and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nama language
Target entity description: Nama language is a Khoe (Khoisan) language of southern Africa, primarily spoken by the Nama people in Namibia and neighboring regions.
  • A. Nafe (Nguna) language
    The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
  • B. Nembe language
    The Nembe language is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
  • C. Anyin language
    The Anyin language is a Niger-Congo language spoken primarily in Côte d'Ivoire and Ghana by the Anyin people, closely related to Baoulé and other Central Tano languages.
  • D. Naoero language
    The Naoero language is an Austronesian language spoken by the indigenous population of the Pacific island nation of Nauru.
  • E. Uma language
    Uma is an Austronesian language of the Celebic subgroup spoken primarily in Central Sulawesi, Indonesia.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0219f0e48190b0a925f09d858d65 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b96e588190bdf346a66a95138a completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577d391ac8190b6062b1f64e2e7e8 completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5787ed214819092fc425152069df9 completed March 14, 2026, 3:02 p.m.
Created at: March 9, 2026, 3:42 p.m.