Triple

T8871359
Position Surface form Disambiguated ID Type / Status
Subject Limbu people E211163 entity
Predicate language P15 FINISHED
Object Limbu language
Limbu language is a Sino-Tibetan language spoken primarily by the Limbu ethnic group in eastern Nepal and neighboring regions of India.
E763069 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: Limbu language | Statement: [Limbu people, language, Limbu language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limbu language
Context triple: [Limbu people, language, Limbu language]
  • A. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • B. Nilu Kurumba language
    The Nilu Kurumba language is a Dravidian tribal language spoken by the Nilu Kurumba people in parts of southern India, particularly in the Nilgiri region.
  • C. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • D. Tharawal language
    Tharawal language is an Australian Aboriginal language traditionally spoken by the Tharawal people of coastal New South Wales, south of Sydney.
  • E. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • 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: Limbu language
Triple: [Limbu people, language, Limbu language]
Generated description
Limbu language is a Sino-Tibetan language spoken primarily by the Limbu ethnic group in eastern Nepal and neighboring regions of India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Limbu language
Target entity description: Limbu language is a Sino-Tibetan language spoken primarily by the Limbu ethnic group in eastern Nepal and neighboring regions of India.
  • A. Murle language
    The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
  • B. Nilu Kurumba language
    The Nilu Kurumba language is a Dravidian tribal language spoken by the Nilu Kurumba people in parts of southern India, particularly in the Nilgiri region.
  • C. Logba language
    The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
  • D. Tharawal language
    Tharawal language is an Australian Aboriginal language traditionally spoken by the Tharawal people of coastal New South Wales, south of Sydney.
  • E. Bagirmi language
    The Bagirmi language is a Central Sudanic language spoken primarily in Chad by the Bagirmi people, known for its role as a regional lingua franca and its rich oral tradition.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61281e888190a32b08980310979f completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f1f1888190a5b514b895e44799 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1ee350881909355371d824ebe3d completed April 3, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:51 p.m.