Triple

T4664156
Position Surface form Disambiguated ID Type / Status
Subject Dewas E102804 entity
Predicate hasLanguage P15 FINISHED
Object Malwi (locally spoken)
Malwi is an Indo-Aryan dialect of the Malwa region in central India, closely related to Hindi and used in everyday local communication.
 E460668 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: Malwi (locally spoken) | Statement: [Dewas, hasLanguage, Malwi (locally spoken)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malwi (locally spoken)
Context triple: [Dewas, hasLanguage, Malwi (locally spoken)]
  • A. Malwai dialect
    The Malwai dialect is a regional variety of Punjabi primarily spoken in the Malwa region of the Indian state of Punjab.
  • B. Mulgi dialect
    The Mulgi dialect is a traditional regional variety of South Estonian spoken historically in the Mulgimaa area of southern Estonia.
  • C. Wama dialect
    The Wama dialect is a regional variety of the Ashkun language spoken by Nuristani communities in eastern Afghanistan.
  • D. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • E. Nomlaki language
    The Nomlaki language is an endangered Native American language traditionally spoken by the Nomlaki people of northern California.
  • 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: Malwi (locally spoken)
Triple: [Dewas, hasLanguage, Malwi (locally spoken)]
Generated description
Malwi is an Indo-Aryan dialect of the Malwa region in central India, closely related to Hindi and used in everyday local communication.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malwi (locally spoken)
Target entity description: Malwi is an Indo-Aryan dialect of the Malwa region in central India, closely related to Hindi and used in everyday local communication.
  • A. Malwai dialect
    The Malwai dialect is a regional variety of Punjabi primarily spoken in the Malwa region of the Indian state of Punjab.
  • B. Mulgi dialect
    The Mulgi dialect is a traditional regional variety of South Estonian spoken historically in the Mulgimaa area of southern Estonia.
  • C. Wama dialect
    The Wama dialect is a regional variety of the Ashkun language spoken by Nuristani communities in eastern Afghanistan.
  • D. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • E. Nomlaki language
    The Nomlaki language is an endangered Native American language traditionally spoken by the Nomlaki people of northern California.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633aeba88190a8329ed022d685b6 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03803a948190b6dc2a03bb9cdc93 completed March 21, 2026, 2:33 a.m.
NEDg Description generation batch_69be0542daf08190b792855c8129ac50 completed March 21, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69be05c1dcd48190a08a5748e86a5ac8 completed March 21, 2026, 2:43 a.m.
Created at: March 20, 2026, 1:15 p.m.