Triple

T9785427
Position Surface form Disambiguated ID Type / Status
Subject Khas E237480 entity
Predicate associatedLanguage P4185 FINISHED
Object Doteli language
Doteli language is an Indo-Aryan language spoken primarily in the far-western regions of Nepal, closely related to other Khas languages such as Nepali.
 E820714 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: Doteli language | Statement: [Khas, associatedLanguage, Doteli language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doteli language
Context triple: [Khas, associatedLanguage, Doteli language]
  • A. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • B. Dendi language
    The Dendi language is a Songhay language spoken primarily along the Niger River in Benin, Niger, and Nigeria, serving as a regional lingua franca in trade and daily communication.
  • C. Dolgan language
    The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
  • D. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • E. Batuley language
    The Batuley language is an Austronesian language spoken by a small community in Indonesia’s Aru Islands.
  • 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: Doteli language
Triple: [Khas, associatedLanguage, Doteli language]
Generated description
Doteli language is an Indo-Aryan language spoken primarily in the far-western regions of Nepal, closely related to other Khas languages such as Nepali.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doteli language
Target entity description: Doteli language is an Indo-Aryan language spoken primarily in the far-western regions of Nepal, closely related to other Khas languages such as Nepali.
  • A. Denya language
    Denya is a Bantoid language of the Mamfe group spoken by a small community in southwestern Cameroon.
  • B. Dendi language
    The Dendi language is a Songhay language spoken primarily along the Niger River in Benin, Niger, and Nigeria, serving as a regional lingua franca in trade and daily communication.
  • C. Dolgan language
    The Dolgan language is a Turkic language spoken primarily by the Dolgan people of northern Siberia, particularly in Russia’s Taymyr Peninsula.
  • D. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • E. Batuley language
    The Batuley language is an Austronesian language spoken by a small community in Indonesia’s Aru Islands.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b8b0a481909d9f7a25881d53be completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c4235ae88190aefaa6d9b63031e0 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c477c9c48190b08f4871955d4450 completed April 5, 2026, 2:09 a.m.
NED2 Entity disambiguation (via description) batch_69d1c520d3988190b7735f6d16e78ab5 completed April 5, 2026, 2:12 a.m.
Created at: March 30, 2026, 8:27 p.m.