Triple

T10912005
Position Surface form Disambiguated ID Type / Status
Subject Datooga E257722 entity
Predicate hasNeighborLanguage P16383 FINISHED
Object Nyaturu
Nyaturu is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
E894153 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: Nyaturu | Statement: [Datooga, hasNeighborLanguage, Nyaturu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyaturu
Context triple: [Datooga, hasNeighborLanguage, Nyaturu]
  • A. Sanyati
    Sanyati is a small town in Zimbabwe known for its agricultural activities and location within Mashonaland West Province.
  • B. Nyambo
    Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
  • C. Njoto
    Njoto was an Indonesian communist politician, intellectual, and prominent leader of the Indonesian Communist Party (PKI) during the 1950s and early 1960s.
  • D. Niiza
    Niiza is a city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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: Nyaturu
Triple: [Datooga, hasNeighborLanguage, Nyaturu]
Generated description
Nyaturu is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nyaturu
Target entity description: Nyaturu is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
  • A. Sanyati
    Sanyati is a small town in Zimbabwe known for its agricultural activities and location within Mashonaland West Province.
  • B. Nyambo
    Nyambo are a Bantu-speaking ethnic group primarily inhabiting Tanzania’s Kagera Region near the western shores of Lake Victoria.
  • C. Njoto
    Njoto was an Indonesian communist politician, intellectual, and prominent leader of the Indonesian Communist Party (PKI) during the 1950s and early 1960s.
  • D. Niiza
    Niiza is a city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
  • E. Oshikwambi
    Oshikwambi is a regional dialect of the Oshiwambo language spoken by the Kwambi people in northern Namibia.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770723df08190bedfdc94d998f969 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216da42a0819095def6a691abf107 completed April 17, 2026, 11:17 a.m.
NEDg Description generation batch_69e21d8952c881908a952de83754e049 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e2247fbd348190bb0d221923dac892 completed April 17, 2026, 12:16 p.m.
Created at: April 8, 2026, 9:22 p.m.