Triple

T7362805
Position Surface form Disambiguated ID Type / Status
Subject Kodava E169791 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Kodagu language
Kodagu language is a Dravidian language spoken primarily by the Kodava (Coorg) people in the Kodagu district of Karnataka, India.
 E658098 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: Kodagu language | Statement: [Kodava, hasAlternativeTransliteration, Kodagu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kodagu language
Context triple: [Kodava, hasAlternativeTransliteration, Kodagu language]
  • A. Kandas language
    Kandas is an Oceanic language of the Western Bismarck subgroup, spoken in the Bismarck Archipelago of Papua New Guinea.
  • B. Kogi language
    Kogi is an indigenous Chibchan language spoken by the Kogi people in the Sierra Nevada de Santa Marta region of northern Colombia.
  • C. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • D. Lambadi language
    The Lambadi language is an Indo-Aryan language spoken primarily by the Banjara (Lambadi) community in parts of India.
  • E. Irula language
    Irula language is a Dravidian tribal language spoken primarily by the Irula people in parts of Tamil Nadu and Kerala in southern India.
  • 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: Kodagu language
Triple: [Kodava, hasAlternativeTransliteration, Kodagu language]
Generated description
Kodagu language is a Dravidian language spoken primarily by the Kodava (Coorg) people in the Kodagu district of Karnataka, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kodagu language
Target entity description: Kodagu language is a Dravidian language spoken primarily by the Kodava (Coorg) people in the Kodagu district of Karnataka, India.
  • A. Kandas language
    Kandas is an Oceanic language of the Western Bismarck subgroup, spoken in the Bismarck Archipelago of Papua New Guinea.
  • B. Kogi language
    Kogi is an indigenous Chibchan language spoken by the Kogi people in the Sierra Nevada de Santa Marta region of northern Colombia.
  • C. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • D. Lambadi language
    The Lambadi language is an Indo-Aryan language spoken primarily by the Banjara (Lambadi) community in parts of India.
  • E. Irula language
    Irula language is a Dravidian tribal language spoken primarily by the Irula people in parts of Tamil Nadu and Kerala in southern India.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f15f218081909b5cc7a8cc695055 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab3a9d88190b9193dd0729eba5a completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbe2a86881909be54dac809aa9af completed March 28, 2026, 4:03 p.m.
NED2 Entity disambiguation (via description) batch_69c7fc84fff48190b4b43da21a9ede51 completed March 28, 2026, 4:06 p.m.
Created at: March 27, 2026, 3:06 p.m.