Triple

T11373478
Position Surface form Disambiguated ID Type / Status
Subject Nakanai E269402 entity
Predicate hasDialects P4251 FINISHED
Object Vele dialect
The Vele dialect is a regional variety of the Nakanai language spoken in parts of New Britain in Papua New Guinea.
 E921994 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: Vele dialect | Statement: [Nakanai, hasDialects, Vele dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vele dialect
Context triple: [Nakanai, hasDialects, Vele dialect]
  • A. Vegliot dialect
    The Vegliot dialect is an extinct variety of the Dalmatian Romance language once spoken on the island of Krk (Veglia) in the Adriatic Sea.
  • B. Malgavet dialect
    The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
  • C. Podjuna dialect
    The Podjuna dialect is a regional variety of the Slovene language spoken in the Carinthian area, characterized by features typical of the Carinthian dialect group.
  • D. Krakolye dialect
    The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
  • E. Didiévi dialect
    The Didiévi dialect is a regional variety of the Baoulé language spoken around the town of Didiévi in central Côte d’Ivoire.
  • 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: Vele dialect
Triple: [Nakanai, hasDialects, Vele dialect]
Generated description
The Vele dialect is a regional variety of the Nakanai language spoken in parts of New Britain in Papua New Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vele dialect
Target entity description: The Vele dialect is a regional variety of the Nakanai language spoken in parts of New Britain in Papua New Guinea.
  • A. Vegliot dialect
    The Vegliot dialect is an extinct variety of the Dalmatian Romance language once spoken on the island of Krk (Veglia) in the Adriatic Sea.
  • B. Malgavet dialect
    The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
  • C. Podjuna dialect
    The Podjuna dialect is a regional variety of the Slovene language spoken in the Carinthian area, characterized by features typical of the Carinthian dialect group.
  • D. Krakolye dialect
    The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
  • E. Didiévi dialect
    The Didiévi dialect is a regional variety of the Baoulé language spoken around the town of Didiévi in central Côte d’Ivoire.
  • 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.