Triple

T5040334
Position Surface form Disambiguated ID Type / Status
Subject Malvi E113527 entity
Predicate hasDialect P4251 FINISHED
Object Ujjaini Malvi
Ujjaini Malvi is a regional dialect of the Malvi language spoken primarily in and around the city of Ujjain in the Indian state of Madhya Pradesh.
E488444 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: Ujjaini Malvi | Statement: [Malvi, hasDialect, Ujjaini Malvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ujjaini Malvi
Context triple: [Malvi, hasDialect, Ujjaini Malvi]
  • A. Jain Maharashtri
    Jain Maharashtri is a literary variety of the Prakrit language historically used in Jain religious texts and inscriptions.
  • B. Pingali Surana
    Pingali Surana was a prominent 16th-century Telugu poet and writer of the Vijayanagara era, renowned for his classical works such as "Kalapurnodayam."
  • C. Nandiraj
    Nandiraj is a tributary river that feeds into the Indravati River in central India.
  • D. Vaishvanara
    Vaishvanara is a Vedic epithet of the fire god Agni, emphasizing his universal, all-pervading aspect as the cosmic fire present in all beings.
  • E. Shabara Svamin
    Shabara Svamin was an influential early Indian philosopher and commentator whose work on the Mimamsa school’s foundational texts significantly shaped Hindu ritual and hermeneutic thought.
  • 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: Ujjaini Malvi
Triple: [Malvi, hasDialect, Ujjaini Malvi]
Generated description
Ujjaini Malvi is a regional dialect of the Malvi language spoken primarily in and around the city of Ujjain in the Indian state of Madhya Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ujjaini Malvi
Target entity description: Ujjaini Malvi is a regional dialect of the Malvi language spoken primarily in and around the city of Ujjain in the Indian state of Madhya Pradesh.
  • A. Jain Maharashtri
    Jain Maharashtri is a literary variety of the Prakrit language historically used in Jain religious texts and inscriptions.
  • B. Pingali Surana
    Pingali Surana was a prominent 16th-century Telugu poet and writer of the Vijayanagara era, renowned for his classical works such as "Kalapurnodayam."
  • C. Nandiraj
    Nandiraj is a tributary river that feeds into the Indravati River in central India.
  • D. Vaishvanara
    Vaishvanara is a Vedic epithet of the fire god Agni, emphasizing his universal, all-pervading aspect as the cosmic fire present in all beings.
  • E. Shabara Svamin
    Shabara Svamin was an influential early Indian philosopher and commentator whose work on the Mimamsa school’s foundational texts significantly shaped Hindu ritual and hermeneutic thought.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73dd27fc8190817e53311ea3f706 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c8084388190b25bbffc42f0b3ed completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9d42dc6c8190bd3d7666351ecd5b completed March 21, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69be9dace3fc81909c6f9ffc0d30b7f8 completed March 21, 2026, 1:31 p.m.
Created at: March 20, 2026, 1:37 p.m.