Triple

T8444862
Position Surface form Disambiguated ID Type / Status
Subject North Munda languages E199647 entity
Predicate includesLanguage P2177 FINISHED
Object Koda language
Koda language is an Austroasiatic language spoken by the Koda (Kora) people of eastern India, primarily in West Bengal and Odisha.
 E734620 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: Koda language | Statement: [North Munda languages, includesLanguage, Koda language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koda language
Context triple: [North Munda languages, includesLanguage, Koda language]
  • A. Kodagu language
    Kodagu language is a Dravidian language spoken primarily by the Kodava (Coorg) people in the Kodagu district of Karnataka, India.
  • B. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • C. Kiga language
    The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
  • D. Tokodede language
    Tokodede is an Austronesian language spoken primarily in the Liquiçá region of northwestern East Timor.
  • E. Koya language
    Koya language is a South-Central Dravidian language spoken by the Koya tribal communities in central and 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: Koda language
Triple: [North Munda languages, includesLanguage, Koda language]
Generated description
Koda language is an Austroasiatic language spoken by the Koda (Kora) people of eastern India, primarily in West Bengal and Odisha.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koda language
Target entity description: Koda language is an Austroasiatic language spoken by the Koda (Kora) people of eastern India, primarily in West Bengal and Odisha.
  • A. Kodagu language
    Kodagu language is a Dravidian language spoken primarily by the Kodava (Coorg) people in the Kodagu district of Karnataka, India.
  • B. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • C. Kiga language
    The Kiga language is a Bantu language spoken primarily by the Bakiga people of southwestern Uganda.
  • D. Tokodede language
    Tokodede is an Austronesian language spoken primarily in the Liquiçá region of northwestern East Timor.
  • E. Koya language
    Koya language is a South-Central Dravidian language spoken by the Koya tribal communities in central and 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe3138ee08190918cd82adbe2d9a1 completed March 31, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dac8cb08190b74985a6ba3c938f completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f3729e4819084600862b53c94a8 completed April 2, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fdde53c8190b356950f878b6b70 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:09 p.m.