Triple

T6753778
Position Surface form Disambiguated ID Type / Status
Subject Sara language E154401 entity
Predicate hasDialect P4251 FINISHED
Object Doba
Doba is a dialect of the Sara language spoken by communities in southern Chad and surrounding regions.
E615476 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: Doba | Statement: [Sara language, hasDialect, Doba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doba
Context triple: [Sara language, hasDialect, Doba]
  • A. Udarser Wiek
    Udarser Wiek is a shallow bay in the Baltic Sea off the coast of the German island of Rügen, known for its coastal wetlands and bird habitats.
  • B. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • C. Lodoïska
    Lodoïska is an opera by Luigi Cherubini, recognized as an important early example of French opéra comique with strong dramatic intensity and influence on later Romantic opera.
  • D. Istók
    Istók is a Hungarian diminutive form of the male given name István, equivalent to Stephen in English.
  • E. Dimasa
    Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley 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: Doba
Triple: [Sara language, hasDialect, Doba]
Generated description
Doba is a dialect of the Sara language spoken by communities in southern Chad and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doba
Target entity description: Doba is a dialect of the Sara language spoken by communities in southern Chad and surrounding regions.
  • A. Udarser Wiek
    Udarser Wiek is a shallow bay in the Baltic Sea off the coast of the German island of Rügen, known for its coastal wetlands and bird habitats.
  • B. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • C. Lodoïska
    Lodoïska is an opera by Luigi Cherubini, recognized as an important early example of French opéra comique with strong dramatic intensity and influence on later Romantic opera.
  • D. Istók
    Istók is a Hungarian diminutive form of the male given name István, equivalent to Stephen in English.
  • E. Dimasa
    Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley 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_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.