Triple

T13114301
Position Surface form Disambiguated ID Type / Status
Subject Mundugumor E311053 entity
Predicate language P15 FINISHED
Object Biwat language
The Biwat language is a Ramu family Papuan language spoken by the Biwat (Mundugumor) people of Papua New Guinea.
E1021849 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: Biwat language | Statement: [Mundugumor, language, Biwat language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biwat language
Context triple: [Mundugumor, language, Biwat language]
  • A. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • B. Buyi language
    The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
  • C. Bipi language
    The Bipi language is an Oceanic Austronesian language spoken by the Bipi people of the Admiralty Islands in Papua New Guinea.
  • D. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • E. Tawbuid language
    The Tawbuid language is an Austronesian language spoken by the Tawbuid (Batangan) Mangyan people of Mindoro in the Philippines, closely related to other South Mangyan languages.
  • 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: Biwat language
Triple: [Mundugumor, language, Biwat language]
Generated description
The Biwat language is a Ramu family Papuan language spoken by the Biwat (Mundugumor) people of Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biwat language
Target entity description: The Biwat language is a Ramu family Papuan language spoken by the Biwat (Mundugumor) people of Papua New Guinea.
  • A. Bafia language
    The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
  • B. Buyi language
    The Buyi language is a Tai–Kadai language spoken primarily by the Buyi ethnic group in Guizhou and neighboring regions of southern China.
  • C. Bipi language
    The Bipi language is an Oceanic Austronesian language spoken by the Bipi people of the Admiralty Islands in Papua New Guinea.
  • D. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • E. Tawbuid language
    The Tawbuid language is an Austronesian language spoken by the Tawbuid (Batangan) Mangyan people of Mindoro in the Philippines, closely related to other South Mangyan languages.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e28105c481908781775ba489c296 completed May 3, 2026, 5:52 a.m.
NEDg Description generation batch_69f6e33f44208190881bee81c2a41850 completed May 3, 2026, 5:55 a.m.
NED2 Entity disambiguation (via description) batch_69f6e40a13c8819084daf9b77b46a181 completed May 3, 2026, 5:58 a.m.
Created at: April 9, 2026, 9:06 p.m.