Triple

T10911980
Position Surface form Disambiguated ID Type / Status
Subject Datooga E257722 entity
Predicate hasDialect P4251 FINISHED
Object Bianjida
Bianjida is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
 E892745 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: Bianjida | Statement: [Datooga, hasDialect, Bianjida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bianjida
Context triple: [Datooga, hasDialect, Bianjida]
  • A. Ji Bian
    Ji Bian was the personal name of King Xian of Zhou, a monarch of the Eastern Zhou dynasty in ancient China.
  • B. Xiadu
    Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
  • C. Huidi
    Huidi is the temple name of the Jianwen Emperor, a Ming dynasty ruler known for his short and turbulent reign marked by internal conflict and the usurpation by his uncle, the Yongle Emperor.
  • D. Anyin Bia
    Anyin Bia is a dialect of the Anyin language spoken by communities in parts of West Africa, particularly in Côte d'Ivoire and neighboring regions.
  • E. Badiu
    Badiu is an alternative name for Badiu Creole, a Portuguese-based creole language variety spoken in parts of Cape Verde.
  • 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: Bianjida
Triple: [Datooga, hasDialect, Bianjida]
Generated description
Bianjida 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: Bianjida
Target entity description: Bianjida is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
  • A. Ji Bian
    Ji Bian was the personal name of King Xian of Zhou, a monarch of the Eastern Zhou dynasty in ancient China.
  • B. Xiadu
    Xiadu was an ancient Chinese city that served as a major political and cultural center of the Warring States–period Yan kingdom.
  • C. Huidi
    Huidi is the temple name of the Jianwen Emperor, a Ming dynasty ruler known for his short and turbulent reign marked by internal conflict and the usurpation by his uncle, the Yongle Emperor.
  • D. Anyin Bia
    Anyin Bia is a dialect of the Anyin language spoken by communities in parts of West Africa, particularly in Côte d'Ivoire and neighboring regions.
  • E. Badiu
    Badiu is an alternative name for Badiu Creole, a Portuguese-based creole language variety spoken in parts of Cape Verde.
  • 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.