Triple

T11373480
Position Surface form Disambiguated ID Type / Status
Subject Nakanai E269402 entity
Predicate hasDialects P4251 FINISHED
Object Maututu dialect
The Maututu dialect is a regional variety of the Nakanai language spoken in parts of New Britain, Papua New Guinea.
E921995 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: Maututu dialect | Statement: [Nakanai, hasDialects, Maututu dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maututu dialect
Context triple: [Nakanai, hasDialects, Maututu dialect]
  • A. Mitiaro dialect
    The Mitiaro dialect is a regional variety of the Cook Islands Māori language spoken on the island of Mitiaro in the Cook Islands.
  • B. Noatia dialect
    The Noatia dialect is a regional variety of the Kokborok language spoken primarily by the Noatia community in Tripura, India.
  • C. Molio’a dialect
    The Molio’a dialect is a regional variety of the Mori Atas language spoken by a subset of its speaker community in Sulawesi, Indonesia.
  • D. Enuani dialect
    The Enuani dialect is a variety of the Igbo language spoken primarily by the Anioma people of Delta State and surrounding areas in southern Nigeria.
  • E. Addu dialect
    The Addu dialect is a regional variety of the Dhivehi language traditionally spoken in the Addu Atoll of the Maldives, known for its distinctive phonological 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: Maututu dialect
Triple: [Nakanai, hasDialects, Maututu dialect]
Generated description
The Maututu dialect is a regional variety of the Nakanai language spoken in parts of New Britain, Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maututu dialect
Target entity description: The Maututu dialect is a regional variety of the Nakanai language spoken in parts of New Britain, Papua New Guinea.
  • A. Mitiaro dialect
    The Mitiaro dialect is a regional variety of the Cook Islands Māori language spoken on the island of Mitiaro in the Cook Islands.
  • B. Noatia dialect
    The Noatia dialect is a regional variety of the Kokborok language spoken primarily by the Noatia community in Tripura, India.
  • C. Molio’a dialect
    The Molio’a dialect is a regional variety of the Mori Atas language spoken by a subset of its speaker community in Sulawesi, Indonesia.
  • D. Enuani dialect
    The Enuani dialect is a variety of the Igbo language spoken primarily by the Anioma people of Delta State and surrounding areas in southern Nigeria.
  • E. Addu dialect
    The Addu dialect is a regional variety of the Dhivehi language traditionally spoken in the Addu Atoll of the Maldives, known for its distinctive phonological 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8d244c8190b865260338edb532 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568e3e108190ab843236b417f150 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.