Triple

T7429755
Position Surface form Disambiguated ID Type / Status
Subject Kunene Region E171458 entity
Predicate hasTown P847 FINISHED
Object Khorixas
Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
 E662894 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: Khorixas | Statement: [Kunene Region, hasTown, Khorixas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khorixas
Context triple: [Kunene Region, hasTown, Khorixas]
  • A. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • B. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • C. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • D. Caibiran
    Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
  • E. Tazmalt
    Tazmalt is a town and commune in northern Algeria known as a local commercial and transport hub within Béjaïa Province.
  • 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: Khorixas
Triple: [Kunene Region, hasTown, Khorixas]
Generated description
Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khorixas
Target entity description: Khorixas is a small town in northwestern Namibia that serves as an administrative and commercial center for the surrounding Kunene Region.
  • A. Huambisa
    Huambisa is an indigenous Jivaroan language spoken by the Huambisa people of the northern Peruvian Amazon.
  • B. Marulanda
    Marulanda is a small municipality and town located in the Caldas Department of Colombia, known for its rural Andean landscapes and agricultural economy.
  • C. Chambeali
    Chambeali is an Indo-Aryan language spoken primarily in the Chamba region of Himachal Pradesh in northern India.
  • D. Caibiran
    Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
  • E. Tazmalt
    Tazmalt is a town and commune in northern Algeria known as a local commercial and transport hub within Béjaïa Province.
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3082f188190af5673d18ac7e87e completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f135a348190ae9edc02a19b2278 completed March 28, 2026, 6:33 p.m.
NEDg Description generation batch_69c81fffd8c0819080baa0bce5351111 completed March 28, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69c820a90ae08190b7872bc44085f4a3 completed March 28, 2026, 6:40 p.m.
Created at: March 27, 2026, 3:12 p.m.