Triple

T3959350
Position Surface form Disambiguated ID Type / Status
Subject Nama E85862 entity
Predicate subfamily P4180 FINISHED
Object Khoe
Khoe is a branch of the Khoe–Kwadi language family spoken by various Khoisan communities in southern Africa.
 E402125 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: Khoe | Statement: [Nama, subfamily, Khoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khoe
Context triple: [Nama, subfamily, Khoe]
  • A. Khobi
    Khobi is a small town in the Samegrelo-Zemo Svaneti region of western Georgia, serving as a local administrative and cultural center.
  • B. Mekoche
    Mekoche is one of the principal divisions of the Shawnee people, historically recognized as a distinct clan or band within the larger Shawnee nation.
  • C. Kohat
    Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
  • D. Kabiye
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • E. Xai-Xai
    Xai-Xai is a coastal city in southern Mozambique that serves as the capital of Gaza Province and a regional center for agriculture, fishing, and tourism.
  • 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: Khoe
Triple: [Nama, subfamily, Khoe]
Generated description
Khoe is a branch of the Khoe–Kwadi language family spoken by various Khoisan communities in southern Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khoe
Target entity description: Khoe is a branch of the Khoe–Kwadi language family spoken by various Khoisan communities in southern Africa.
  • A. Khobi
    Khobi is a small town in the Samegrelo-Zemo Svaneti region of western Georgia, serving as a local administrative and cultural center.
  • B. Mekoche
    Mekoche is one of the principal divisions of the Shawnee people, historically recognized as a distinct clan or band within the larger Shawnee nation.
  • C. Kohat
    Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
  • D. Kabiye
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • E. Xai-Xai
    Xai-Xai is a coastal city in southern Mozambique that serves as the capital of Gaza Province and a regional center for agriculture, fishing, and tourism.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95ef8988190ba504cdfc217c4fa completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533b57ad08190972d385a133c73b8 completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b534b3596c819088812b5835512c05 completed March 14, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69b5354ce29481909af8f0a216c3e643 completed March 14, 2026, 10:15 a.m.
Created at: March 9, 2026, 3:31 p.m.