Triple

T6098723
Position Surface form Disambiguated ID Type / Status
Subject Kaili language E135940 entity
Predicate hasDialect P4251 FINISHED
Object Tavaeli Kaili
Tavaeli Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
E569493 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: Tavaeli Kaili | Statement: [Kaili language, hasDialect, Tavaeli Kaili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tavaeli Kaili
Context triple: [Kaili language, hasDialect, Tavaeli Kaili]
  • A. Arsukidze
    Arsukidze was a medieval Georgian architect renowned as the master builder of the Svetitskhoveli Cathedral in Mtskheta.
  • B. Kato Svanidze
    Kato Svanidze was the first wife of Joseph Stalin, remembered primarily for her early death and its profound emotional impact on him.
  • C. Ketevan
    Ketevan is a Georgian female given name, often associated with historical and cultural figures from Georgia.
  • D. Aluda Ketelauri
    Aluda Ketelauri is a narrative poem by Georgian writer Vazha-Pshavela that explores themes of honor, revenge, and moral transformation in the highland culture of Georgia.
  • E. Khatia
    Khatia is a small gateway village that serves as one of the main entry points to Kanha National Park in central India.
  • 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: Tavaeli Kaili
Triple: [Kaili language, hasDialect, Tavaeli Kaili]
Generated description
Tavaeli Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tavaeli Kaili
Target entity description: Tavaeli Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
  • A. Arsukidze
    Arsukidze was a medieval Georgian architect renowned as the master builder of the Svetitskhoveli Cathedral in Mtskheta.
  • B. Kato Svanidze
    Kato Svanidze was the first wife of Joseph Stalin, remembered primarily for her early death and its profound emotional impact on him.
  • C. Ketevan
    Ketevan is a Georgian female given name, often associated with historical and cultural figures from Georgia.
  • D. Aluda Ketelauri
    Aluda Ketelauri is a narrative poem by Georgian writer Vazha-Pshavela that explores themes of honor, revenge, and moral transformation in the highland culture of Georgia.
  • E. Khatia
    Khatia is a small gateway village that serves as one of the main entry points to Kanha National Park in central India.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125475548819086b733a80056eba5 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c128753cd8819096edb3c817bfae10 completed March 23, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c129134ce08190ada54a7b3eda27f4 completed March 23, 2026, 11:50 a.m.
Created at: March 22, 2026, 4:13 p.m.