Triple

T16553281
Position Surface form Disambiguated ID Type / Status
Subject Khoe E402125 entity
Predicate hasLanguage P15 FINISHED
Object Nǁngm
Nǁngm is an endangered Khoe language of southern Africa, traditionally spoken by small communities of indigenous hunter-gatherers.
 E1220526 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: Nǁngm | Statement: [Khoe, hasLanguage, Nǁngm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nǁngm
Context triple: [Khoe, hasLanguage, Nǁngm]
  • A. Noonga
    Noonga is an alternative name for the Noongar language, an Aboriginal Australian language traditionally spoken in the southwest region of Western Australia.
  • B. Ngoulemakong
    Ngoulemakong is a town located in the South Region of Cameroon.
  • C. Nkomi
    Nkomi is a dialect of the Myene language spoken by the Nkomi people of Gabon.
  • D. Ngarluma
    Ngarluma is an Aboriginal Australian group traditionally associated with the coastal and inland areas around Roebourne in the Pilbara region of Western Australia.
  • E. Nong
    Nong is an ethnic group belonging to the Northern Tai branch, traditionally inhabiting parts of southern China and mainland Southeast Asia.
  • 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: Nǁngm
Triple: [Khoe, hasLanguage, Nǁngm]
Generated description
Nǁngm is an endangered Khoe language of southern Africa, traditionally spoken by small communities of indigenous hunter-gatherers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nǁngm
Target entity description: Nǁngm is an endangered Khoe language of southern Africa, traditionally spoken by small communities of indigenous hunter-gatherers.
  • A. Noonga
    Noonga is an alternative name for the Noongar language, an Aboriginal Australian language traditionally spoken in the southwest region of Western Australia.
  • B. Ngoulemakong
    Ngoulemakong is a town located in the South Region of Cameroon.
  • C. Nkomi
    Nkomi is a dialect of the Myene language spoken by the Nkomi people of Gabon.
  • D. Ngarluma
    Ngarluma is an Aboriginal Australian group traditionally associated with the coastal and inland areas around Roebourne in the Pilbara region of Western Australia.
  • E. Nong
    Nong is an ethnic group belonging to the Northern Tai branch, traditionally inhabiting parts of southern China and mainland Southeast Asia.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc737ac8190b755e2a39b6ef32b completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b87b608190950b8f14e6aceed3 completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a00686f87408190b7d8a41cd54735d8 completed May 10, 2026, 11:13 a.m.
NED2 Entity disambiguation (via description) batch_6a006b6edd7081908730363b267253dd completed May 10, 2026, 11:26 a.m.
Created at: April 10, 2026, 5:15 a.m.