Triple

T7345022
Position Surface form Disambiguated ID Type / Status
Subject Busoa language E169354 entity
Predicate subgroup P10 FINISHED
Object Muna–Buton
Muna–Buton is a subgroup of closely related Austronesian languages spoken primarily in southeastern Sulawesi, Indonesia.
E658284 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: Muna–Buton | Statement: [Busoa language, subgroup, Muna–Buton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muna–Buton
Context triple: [Busoa language, subgroup, Muna–Buton]
  • A. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • B. Mamburao
    Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
  • C. Munduk
    Munduk is a scenic highland village in northern Bali, Indonesia, known for its cool climate, lush coffee and clove plantations, and numerous waterfalls.
  • D. Mandeali
    Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
  • E. Mumuye
    The Mumuye are an indigenous ethnic group of northeastern Nigeria known for their distinct language and rich artistic traditions, particularly their stylized wooden sculptures.
  • 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: Muna–Buton
Triple: [Busoa language, subgroup, Muna–Buton]
Generated description
Muna–Buton is a subgroup of closely related Austronesian languages spoken primarily in southeastern Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Muna–Buton
Target entity description: Muna–Buton is a subgroup of closely related Austronesian languages spoken primarily in southeastern Sulawesi, Indonesia.
  • A. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • B. Mamburao
    Mamburao is a coastal municipality in the Philippines that serves as the capital of the province of Occidental Mindoro in the Mimaropa region.
  • C. Munduk
    Munduk is a scenic highland village in northern Bali, Indonesia, known for its cool climate, lush coffee and clove plantations, and numerous waterfalls.
  • D. Mandeali
    Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
  • E. Mumuye
    The Mumuye are an indigenous ethnic group of northeastern Nigeria known for their distinct language and rich artistic traditions, particularly their stylized wooden sculptures.
  • 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0eeb30081909d25704ac9b49d0e completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa8de0888190b62101471048b8e1 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbffbc7881909a5b4e877a735848 completed March 28, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69c7fcb2605c819080697768d00c77d7 completed March 28, 2026, 4:07 p.m.
Created at: March 27, 2026, 3:05 p.m.