Triple

T12576114
Position Surface form Disambiguated ID Type / Status
Subject Oirat language E300209 entity
Predicate hasDialect P4251 FINISHED
Object Ööld dialect
The Ööld dialect is a regional variety of the Oirat Mongolic language traditionally spoken by the Ööld people of western Mongolia and surrounding areas.
 E989815 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: Ööld dialect | Statement: [Oirat language, hasDialect, Ööld dialect]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ööld dialect
Context triple: [Oirat language, hasDialect, Ööld dialect]
  • A. Aknogai dialect
    The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
  • B. Krakolye dialect
    The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
  • C. Malgavet dialect
    The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
  • D. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central 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: Ööld dialect
Triple: [Oirat language, hasDialect, Ööld dialect]
Generated description
The Ööld dialect is a regional variety of the Oirat Mongolic language traditionally spoken by the Ööld people of western Mongolia and surrounding areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ööld dialect
Target entity description: The Ööld dialect is a regional variety of the Oirat Mongolic language traditionally spoken by the Ööld people of western Mongolia and surrounding areas.
  • A. Aknogai dialect
    The Aknogai dialect is a regional variety of the Nogai language spoken by Nogai communities in the North Caucasus.
  • B. Krakolye dialect
    The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
  • C. Malgavet dialect
    The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
  • D. Turu dialect
    Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954a629fc8190a1c3b6777aad4527 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65597dc70819089ddc1794e9bd1b7 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656f812bc8190a2a691285fc30e03 completed May 2, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69f657f1ced08190a588642c7fa5efdd completed May 2, 2026, 8 p.m.
Created at: April 9, 2026, 4:47 p.m.