Triple

T6753777
Position Surface form Disambiguated ID Type / Status
Subject Sara language E154401 entity
Predicate hasDialect P4251 FINISHED
Object Bedjond
Bedjond is a dialect of the Sara language spoken by communities in southern Chad.
 E615475 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: Bedjond | Statement: [Sara language, hasDialect, Bedjond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bedjond
Context triple: [Sara language, hasDialect, Bedjond]
  • A. Bondy
    Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
  • B. Bandabi
    Bandabi is the Asiatic black bear mascot of the PyeongChang 2018 Winter Paralympic Games, symbolizing courage and strong will.
  • C. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • D. Beng ü Bade
    Beng ü Bade is a celebrated allegorical poem by the 16th-century Azerbaijani poet Fuzuli, known for its rich mystical and philosophical themes.
  • E. Jebe
    Jebe was one of Genghis Khan’s most brilliant generals, renowned for his daring cavalry campaigns and key role in the early Mongol conquests across Central Asia and into Eastern Europe.
  • 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: Bedjond
Triple: [Sara language, hasDialect, Bedjond]
Generated description
Bedjond is a dialect of the Sara language spoken by communities in southern Chad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bedjond
Target entity description: Bedjond is a dialect of the Sara language spoken by communities in southern Chad.
  • A. Bondy
    Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
  • B. Bandabi
    Bandabi is the Asiatic black bear mascot of the PyeongChang 2018 Winter Paralympic Games, symbolizing courage and strong will.
  • C. Jebba
    Jebba is a town in western Nigeria known for its strategic location on the Niger River and its historic bridge linking northern and southern Nigeria.
  • D. Beng ü Bade
    Beng ü Bade is a celebrated allegorical poem by the 16th-century Azerbaijani poet Fuzuli, known for its rich mystical and philosophical themes.
  • E. Jebe
    Jebe was one of Genghis Khan’s most brilliant generals, renowned for his daring cavalry campaigns and key role in the early Mongol conquests across Central Asia and into Eastern Europe.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f32fa08190bb23dc24fef14c8d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1c4594819084716e21b16191e3 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70c4111848190906b0e43cf4ae325 completed March 27, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69c70cbb8644819091a8a9c061dfd605 completed March 27, 2026, 11:03 p.m.
Created at: March 27, 2026, 2:11 p.m.