Triple

T5635663
Position Surface form Disambiguated ID Type / Status
Subject Lihir E147940 entity
Predicate hasDialects P4251 FINISHED
Object Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
 E538593 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: Malgavet dialect | Statement: [Lihir, hasDialects, Malgavet dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malgavet dialect
Context triple: [Lihir, hasDialects, Malgavet dialect]
  • A. Doabi dialect
    The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
  • B. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
  • C. Salyr dialect
    The Salyr dialect is a regional variety of the Turkmen language traditionally associated with the Salyr Turkmen tribe.
  • D. Mulgi dialect
    The Mulgi dialect is a traditional regional variety of South Estonian spoken historically in the Mulgimaa area of southern Estonia.
  • E. Varhadi dialect
    Varhadi dialect is a regional variety of the Marathi language spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
  • 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: Malgavet dialect
Triple: [Lihir, hasDialects, Malgavet dialect]
Generated description
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malgavet dialect
Target entity description: The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
  • A. Doabi dialect
    The Doabi dialect is a regional variety of Punjabi traditionally spoken in the Doaba region of the Indian state of Punjab, between the Beas and Sutlej rivers.
  • B. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
  • C. Salyr dialect
    The Salyr dialect is a regional variety of the Turkmen language traditionally associated with the Salyr Turkmen tribe.
  • D. Mulgi dialect
    The Mulgi dialect is a traditional regional variety of South Estonian spoken historically in the Mulgimaa area of southern Estonia.
  • E. Varhadi dialect
    Varhadi dialect is a regional variety of the Marathi language spoken primarily in the Vidarbha region of Maharashtra, India, known for its distinct phonetic and lexical features.
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0226286208190b6ccf036cc09fe82 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d6d2dfc8190a2eabb8beda04ee5 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04e8a92a0819091bad1fbef4a509b completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c056acf1f48190bf7324ae178adbb7 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 3:41 p.m.