Triple

T8444856
Position Surface form Disambiguated ID Type / Status
Subject North Munda languages E199647 entity
Predicate includesLanguage P2177 FINISHED
Object Bhumij language
Bhumij language is an Austroasiatic language of the Munda family spoken primarily by the Bhumij people in eastern India.
 E734616 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: Bhumij language | Statement: [North Munda languages, includesLanguage, Bhumij language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bhumij language
Context triple: [North Munda languages, includesLanguage, Bhumij language]
  • A. Khumi language
    The Khumi language is a lesser-known Tibeto-Burman language spoken primarily by the Khumi people in parts of Myanmar and neighboring regions.
  • B. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • C. Gumer language
    The Gumer language is an Afroasiatic Semitic language spoken by the Gumer people of the Gurage region in central Ethiopia.
  • D. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • E. Medumba language
    Medumba is a Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • 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: Bhumij language
Triple: [North Munda languages, includesLanguage, Bhumij language]
Generated description
Bhumij language is an Austroasiatic language of the Munda family spoken primarily by the Bhumij people in eastern India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bhumij language
Target entity description: Bhumij language is an Austroasiatic language of the Munda family spoken primarily by the Bhumij people in eastern India.
  • A. Khumi language
    The Khumi language is a lesser-known Tibeto-Burman language spoken primarily by the Khumi people in parts of Myanmar and neighboring regions.
  • B. Chumburung language
    The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
  • C. Gumer language
    The Gumer language is an Afroasiatic Semitic language spoken by the Gumer people of the Gurage region in central Ethiopia.
  • D. Blablanga language
    The Blablanga language is an Oceanic language spoken in the Solomon Islands, belonging to the Northwest Solomonic subgroup of the Austronesian language family.
  • E. Medumba language
    Medumba is a Bantu-related Grassfields language spoken primarily by the Bamileke people in western Cameroon.
  • 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.