Triple

T10736615
Position Surface form Disambiguated ID Type / Status
Subject Dakshina Kannada district E253210 entity
Predicate majorLanguage P207 FINISHED
Object Byari
Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
 E885256 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: Byari | Statement: [Dakshina Kannada district, majorLanguage, Byari]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Byari
Context triple: [Dakshina Kannada district, majorLanguage, Byari]
  • A. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • B. Barabai
    Barabai is a town and administrative center in Hulu Sungai Tengah Regency on the island of Borneo in Indonesia’s South Kalimantan province.
  • C. Bariadi
    Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
  • D. Borama
    Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
  • E. Barara
    Barara is a town in the Ambala district of the northern Indian state of Haryana, known primarily as a local administrative and market center for surrounding rural areas.
  • 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: Byari
Triple: [Dakshina Kannada district, majorLanguage, Byari]
Generated description
Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Byari
Target entity description: Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
  • A. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • B. Barabai
    Barabai is a town and administrative center in Hulu Sungai Tengah Regency on the island of Borneo in Indonesia’s South Kalimantan province.
  • C. Bariadi
    Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
  • D. Borama
    Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
  • E. Barara
    Barara is a town in the Ambala district of the northern Indian state of Haryana, known primarily as a local administrative and market center for surrounding rural areas.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71022aee0819091a5790d3dee6777 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de557c4ea4819090b0c6c2175e05ea completed April 14, 2026, 2:55 p.m.
NEDg Description generation batch_69de5952f6c48190abd3b87372d54f58 completed April 14, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69de5ed49c9c8190a4085407f88d7a05 completed April 14, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:14 p.m.