Triple

T2254076
Position Surface form Disambiguated ID Type / Status
Subject Southern Nilotic languages E49679 entity
Predicate includesLanguage P2177 FINISHED
Object Datooga
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
 E257722 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: Datooga | Statement: [Southern Nilotic languages, includesLanguage, Datooga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Datooga
Context triple: [Southern Nilotic languages, includesLanguage, Datooga]
  • A. Konda-Dora
    Konda-Dora is a South-Central Dravidian language spoken primarily by the Konda Dora tribal community in parts of Andhra Pradesh and Odisha, India.
  • B. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • C. Baashha
    Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
  • D. Uzal
    Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
  • E. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • 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: Datooga
Triple: [Southern Nilotic languages, includesLanguage, Datooga]
Generated description
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Datooga
Target entity description: Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • A. Konda-Dora
    Konda-Dora is a South-Central Dravidian language spoken primarily by the Konda Dora tribal community in parts of Andhra Pradesh and Odisha, India.
  • B. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • C. Baashha
    Baashha is a hugely popular 1995 Tamil action film starring Rajinikanth, celebrated for its iconic dialogues, mass appeal, and enduring cult status in Indian cinema.
  • D. Uzal
    Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
  • E. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc12029548190af9f2cdd7a4de2d6 completed March 7, 2026, 6:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96021324819088eafcaf06f97455 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae96d95c648190bca59f97c01e59fc completed March 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ae974d062c819091459361f519ee3e completed March 9, 2026, 9:47 a.m.
Created at: March 4, 2026, 7:47 p.m.