Triple

T312428
Position Surface form Disambiguated ID Type / Status
Subject Nubians E7635 entity
Predicate language P15 FINISHED
Object Kenzi
Kenzi is a Nubian language spoken primarily along the Nile in southern Egypt.
E40530 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: Kenzi | Statement: [Nubians, language, Kenzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenzi
Context triple: [Nubians, language, Kenzi]
  • A. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • B. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • C. Nobiin
    Nobiin is a Nile-Nubian language spoken primarily by Nubian communities in southern Egypt and northern Sudan, known for its ancient roots and rich oral tradition.
  • D. Mawtini
    Mawtini is a patriotic Arabic song that serves as Iraq’s national anthem, celebrating homeland, freedom, and resilience.
  • E. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • 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: Kenzi
Triple: [Nubians, language, Kenzi]
Generated description
Kenzi is a Nubian language spoken primarily along the Nile in southern Egypt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kenzi
Target entity description: Kenzi is a Nubian language spoken primarily along the Nile in southern Egypt.
  • A. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • B. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • C. Nobiin chosen
    Nobiin is a Nile-Nubian language spoken primarily by Nubian communities in southern Egypt and northern Sudan, known for its ancient roots and rich oral tradition.
  • D. Mawtini
    Mawtini is a patriotic Arabic song that serves as Iraq’s national anthem, celebrating homeland, freedom, and resilience.
  • E. Kestrel
    Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea4aa16881909b2c8404b85992df completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3c8b7274881908e13da8bb2c83858 completed March 1, 2026, 5:03 a.m.
NEDg Description generation batch_69a3c93ce2308190b2df5c939691a2ce completed March 1, 2026, 5:06 a.m.
NED2 Entity disambiguation (via description) batch_69a3ca020b7081909b54e311c173ef21 completed March 1, 2026, 5:09 a.m.
Created at: Feb. 28, 2026, 1:07 p.m.