Triple

T22849213
Position Surface form Disambiguated ID Type / Status
Subject Jingpho–Luish languages E566311 entity
Predicate hasPart P35 FINISHED
Object Cak language
The Cak language is a lesser-known Tibeto-Burman language spoken by the Cak (Sak) ethnic group in parts of Myanmar and Bangladesh.
 E1557279 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: Cak language | Statement: [Jingpho–Luish languages, hasPart, Cak language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cak language
Context triple: [Jingpho–Luish languages, hasPart, Cak language]
  • A. Cakfem-Mushere language
    The Cakfem-Mushere language is a Plateau language of central Nigeria spoken by the Cakfem and Mushere communities.
  • B. Keka language
    Keka is an Austronesian language spoken on Rote Island in Indonesia, belonging to the Rote subgroup of languages.
  • C. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • D. Aka-Bo language
    The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • 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: Cak language
Triple: [Jingpho–Luish languages, hasPart, Cak language]
Generated description
The Cak language is a lesser-known Tibeto-Burman language spoken by the Cak (Sak) ethnic group in parts of Myanmar and Bangladesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cak language
Target entity description: The Cak language is a lesser-known Tibeto-Burman language spoken by the Cak (Sak) ethnic group in parts of Myanmar and Bangladesh.
  • A. Cakfem-Mushere language
    The Cakfem-Mushere language is a Plateau language of central Nigeria spoken by the Cakfem and Mushere communities.
  • B. Keka language
    Keka is an Austronesian language spoken on Rote Island in Indonesia, belonging to the Rote subgroup of languages.
  • C. Daakaka language
    The Daakaka language is an Oceanic language spoken by communities on Ambrym Island in Vanuatu.
  • D. Aka-Bo language
    The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
  • E. Aka-Bea language
    The Aka-Bea language is an extinct indigenous tongue once spoken by the Great Andamanese Aka-Bea people of the Andaman Islands in the Bay of Bengal.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8aceb88190b137d17a7510fee4 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7bc018c81908665d3a9928734dc completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba951d25481908cbbe34d23352f64 completed May 19, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba9c4bf048190abd9887498fa3621 completed May 19, 2026, 12:07 a.m.
Created at: April 17, 2026, 3:36 p.m.