Triple

T10911981
Position Surface form Disambiguated ID Type / Status
Subject Datooga E257722 entity
Predicate hasDialect P4251 FINISHED
Object Rotigenga
Rotigenga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
 E892746 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: Rotigenga | Statement: [Datooga, hasDialect, Rotigenga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rotigenga
Context triple: [Datooga, hasDialect, Rotigenga]
  • A. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • B. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • C. Unzaga
    Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
  • D. Montoro
    Montoro is a municipality in southern Italy’s Campania region, known for its agricultural traditions and location within the Province of Avellino.
  • E. Garanhuns
    Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
  • 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: Rotigenga
Triple: [Datooga, hasDialect, Rotigenga]
Generated description
Rotigenga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rotigenga
Target entity description: Rotigenga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
  • A. Opata
    Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
  • B. Rauco
    Rauco is a rural municipality and commune in central Chile’s Maule Region, known for its agricultural activities and proximity to the city of Curicó.
  • C. Unzaga
    Unzaga is a Spanish surname historically associated with families of Basque origin and notable figures in Spain and Latin America.
  • D. Montoro
    Montoro is a municipality in southern Italy’s Campania region, known for its agricultural traditions and location within the Province of Avellino.
  • E. Garanhuns
    Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
  • 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_69e155550e388190bd441ac3a9dde435 completed April 16, 2026, 9:32 p.m.
NEDg Description generation batch_69e1801eaa048190a5e8822b3da1077c completed April 17, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_69e1831f8a6c819084bde8f71371cf8e completed April 17, 2026, 12:47 a.m.
Created at: April 8, 2026, 9:22 p.m.