Triple

T1987743
Position Surface form Disambiguated ID Type / Status
Subject West Chadic E43179 entity
Predicate hasMajorLanguage P207 FINISHED
Object Dass
Dass is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
 E222788 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: Dass | Statement: [West Chadic, hasMajorLanguage, Dass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dass
Context triple: [West Chadic, hasMajorLanguage, Dass]
  • A. Daha
    Daha was a prominent historical city in East Java that served as the political and cultural center of the medieval Kediri Kingdom in Indonesia.
  • B. Dawadmi
    Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • C. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • D. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • E. Drees
    Drees is a Dutch surname most notably associated with Willem Drees, a prominent 20th-century Dutch prime minister.
  • 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: Dass
Triple: [West Chadic, hasMajorLanguage, Dass]
Generated description
Dass is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dass
Target entity description: Dass is a West Chadic language spoken in parts of Nigeria, belonging to the Afroasiatic language family.
  • A. Daha
    Daha was a prominent historical city in East Java that served as the political and cultural center of the medieval Kediri Kingdom in Indonesia.
  • B. Dawadmi
    Dawadmi is a town in central Saudi Arabia known as an important administrative and commercial center within Riyadh Province.
  • C. Barcha
    Barcha is the surname of Mercedes Barcha, the Colombian wife and lifelong companion of Nobel Prize–winning author Gabriel García Márquez.
  • D. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • E. Drees
    Drees is a Dutch surname most notably associated with Willem Drees, a prominent 20th-century Dutch prime minister.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb840a5708190a9b64564b855fb22 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033410a88190bac79032a012549a completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03e6239881909144a41a7ef96941 completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae0452e188819099de641a9afcd04c completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.