Triple

T6243966
Position Surface form Disambiguated ID Type / Status
Subject Bungku–Tolaki languages E139669 entity
Predicate hasMember P10 FINISHED
Object Konawe language
The Konawe language is an Austronesian language spoken in Southeast Sulawesi, Indonesia, primarily by the Konawe people.
 E578972 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: Konawe language | Statement: [Bungku–Tolaki languages, hasMember, Konawe language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Konawe language
Context triple: [Bungku–Tolaki languages, hasMember, Konawe language]
  • A. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • B. Enrekang language
    The Enrekang language is an Austronesian language spoken by the Enrekang people in South Sulawesi, Indonesia.
  • C. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • D. Kogi language
    Kogi is an indigenous Chibchan language spoken by the Kogi people in the Sierra Nevada de Santa Marta region of northern Colombia.
  • E. Samawa language
    The Samawa language is an Austronesian language spoken by the Samawa (Sumbawa) people of Sumbawa Island in Indonesia, closely related to the Sasak language of neighboring Lombok.
  • 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: Konawe language
Triple: [Bungku–Tolaki languages, hasMember, Konawe language]
Generated description
The Konawe language is an Austronesian language spoken in Southeast Sulawesi, Indonesia, primarily by the Konawe people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Konawe language
Target entity description: The Konawe language is an Austronesian language spoken in Southeast Sulawesi, Indonesia, primarily by the Konawe people.
  • A. Sanglechi language
    The Sanglechi language is an Eastern Iranian language spoken by a small community in the Sanglech Valley region of Afghanistan and Tajikistan.
  • B. Enrekang language
    The Enrekang language is an Austronesian language spoken by the Enrekang people in South Sulawesi, Indonesia.
  • C. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • D. Kogi language
    Kogi is an indigenous Chibchan language spoken by the Kogi people in the Sierra Nevada de Santa Marta region of northern Colombia.
  • E. Samawa language
    The Samawa language is an Austronesian language spoken by the Samawa (Sumbawa) people of Sumbawa Island in Indonesia, closely related to the Sasak language of neighboring Lombok.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631b32308190a8211043d1caa6e6 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e12fa248190ad9daaf9563d38c6 completed March 24, 2026, 4:07 a.m.
NEDg Description generation batch_69c214aaef308190be1166c1389bf3d3 completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c21508dbec8190b9bb4806a83ecb13 completed March 24, 2026, 4:37 a.m.
Created at: March 22, 2026, 4:23 p.m.