Triple

T21528218
Position Surface form Disambiguated ID Type / Status
Subject Bhutia E531153 entity
Predicate alternateName P39 FINISHED
Object Lhopo language
The Lhopo language, also known as Bhutia, is a Tibeto-Burman language spoken primarily by the Bhutia community in the Indian state of Sikkim and nearby Himalayan regions.
 E1488406 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: Lhopo language | Statement: [Bhutia, alternateName, Lhopo language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lhopo language
Context triple: [Bhutia, alternateName, Lhopo language]
  • A. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • B. Lopit language
    The Lopit language is a Nilo-Saharan language spoken by the Lopit people of South Sudan.
  • C. Hozo language
    The Hozo language is a lesser-known North Omotic language spoken by a small community in southwestern Ethiopia.
  • D. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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: Lhopo language
Triple: [Bhutia, alternateName, Lhopo language]
Generated description
The Lhopo language, also known as Bhutia, is a Tibeto-Burman language spoken primarily by the Bhutia community in the Indian state of Sikkim and nearby Himalayan regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lhopo language
Target entity description: The Lhopo language, also known as Bhutia, is a Tibeto-Burman language spoken primarily by the Bhutia community in the Indian state of Sikkim and nearby Himalayan regions.
  • A. Lamaholot language
    The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
  • B. Lopit language
    The Lopit language is a Nilo-Saharan language spoken by the Lopit people of South Sudan.
  • C. Hozo language
    The Hozo language is a lesser-known North Omotic language spoken by a small community in southwestern Ethiopia.
  • D. Pokomo language
    The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
  • E. Kumbewaha language
    The Kumbewaha language is an Austronesian language spoken in Sulawesi, Indonesia, belonging to the Wotu–Wolio subgroup.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8852e68c8190a5341c9f75081382 completed April 26, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e82f61888190a2e54e3d14e13bd1 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e918bc80819093a8939e0eabf06f completed May 17, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09e98b27ec8190bacd93a48e4d5467 completed May 17, 2026, 4:15 p.m.
Created at: April 16, 2026, 6:26 p.m.