Triple

T9487971
Position Surface form Disambiguated ID Type / Status
Subject Vasi-weri E228809 entity
Predicate hasAlternativeName P39 FINISHED
Object Vasi-weri language
The Vasi-weri language is a Papuan language spoken by a small indigenous community in Papua New Guinea.
 E801740 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: Vasi-weri language | Statement: [Vasi-weri, hasAlternativeName, Vasi-weri language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vasi-weri language
Context triple: [Vasi-weri, hasAlternativeName, Vasi-weri language]
  • A. Tiwa language
    Tiwa language is a Tibeto-Burman language spoken by the Tiwa (Lalung) people of northeastern India, primarily in Assam and Meghalaya.
  • B. Parji language
    The Parji language is a lesser-known Dravidian language spoken primarily by tribal communities in central India, particularly in parts of Chhattisgarh and Odisha.
  • C. Zaiwa language
    The Zaiwa language is a Tibeto-Burman language spoken primarily by the Zaiwa people in parts of Yunnan, China and northern Myanmar.
  • D. Vaiphei language
    The Vaiphei language is a Tibeto-Burman language spoken primarily by the Vaiphei people in northeastern India, especially in the state of Manipur.
  • E. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • 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: Vasi-weri language
Triple: [Vasi-weri, hasAlternativeName, Vasi-weri language]
Generated description
The Vasi-weri language is a Papuan language spoken by a small indigenous community in Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vasi-weri language
Target entity description: The Vasi-weri language is a Papuan language spoken by a small indigenous community in Papua New Guinea.
  • A. Tiwa language
    Tiwa language is a Tibeto-Burman language spoken by the Tiwa (Lalung) people of northeastern India, primarily in Assam and Meghalaya.
  • B. Parji language
    The Parji language is a lesser-known Dravidian language spoken primarily by tribal communities in central India, particularly in parts of Chhattisgarh and Odisha.
  • C. Zaiwa language
    The Zaiwa language is a Tibeto-Burman language spoken primarily by the Zaiwa people in parts of Yunnan, China and northern Myanmar.
  • D. Vaiphei language
    The Vaiphei language is a Tibeto-Burman language spoken primarily by the Vaiphei people in northeastern India, especially in the state of Manipur.
  • E. Baniwa language
    Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d18fd908190b562fa0a8dad7c63 completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12da44d7c8190afb11ae3009a79e5 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e1459348190aed583b2364a53dd completed April 4, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:55 p.m.