Triple

T2136366
Position Surface form Disambiguated ID Type / Status
Subject Barak Valley E46662 entity
Predicate languageSpoken P151 FINISHED
Object Dimasa
Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley region.
 E237118 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: Dimasa | Statement: [Barak Valley, languageSpoken, Dimasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dimasa
Context triple: [Barak Valley, languageSpoken, Dimasa]
  • A. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • B. Durante
    Durante is the birth name of the Italian poet Dante Alighieri, renowned author of the Divine Comedy.
  • C. Dimalik
    Dimalik is the indigenous traditional religion of the Dimasa people, encompassing their ancestral deities, rituals, and cosmological beliefs.
  • D. Timung
    Timung is one of the principal clans of the Karbi people, an indigenous ethnic group from Northeast India.
  • E. Mitanni
    Mitanni was a powerful Hurrian-speaking kingdom of the Late Bronze Age in northern Mesopotamia and Syria, known for its chariotry, diplomacy, and rivalry with contemporary great powers such as Egypt and the Hittites.
  • 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: Dimasa
Triple: [Barak Valley, languageSpoken, Dimasa]
Generated description
Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dimasa
Target entity description: Dimasa is a Tibeto-Burman language spoken primarily by the Dimasa people in parts of Northeast India, including the Barak Valley region.
  • A. Nzaman
    Nzaman is a dialect of the Fang language spoken by Fang communities in Central Africa.
  • B. Durante
    Durante is the birth name of the Italian poet Dante Alighieri, renowned author of the Divine Comedy.
  • C. Dimalik
    Dimalik is the indigenous traditional religion of the Dimasa people, encompassing their ancestral deities, rituals, and cosmological beliefs.
  • D. Timung
    Timung is one of the principal clans of the Karbi people, an indigenous ethnic group from Northeast India.
  • E. Mitanni
    Mitanni was a powerful Hurrian-speaking kingdom of the Late Bronze Age in northern Mesopotamia and Syria, known for its chariotry, diplomacy, and rivalry with contemporary great powers such as Egypt and the Hittites.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbdc4ce8c81908d143d5451681e6a completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51acc0f88190a580e29d887170ec completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae5322097c81909d77d54ae258ab1a completed March 9, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_69ae5365cd808190aa8363b612ef0ec5 completed March 9, 2026, 4:58 a.m.
Created at: March 4, 2026, 7:44 p.m.