Triple

T7676344
Position Surface form Disambiguated ID Type / Status
Subject Karenic languages E173869 entity
Predicate hasSubgroup P747 FINISHED
Object Bwe Karen
Bwe Karen is a subgroup of the Karenic-speaking Karen people, an ethnic group primarily inhabiting regions of Myanmar and neighboring areas.
 E680707 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: Bwe Karen | Statement: [Karenic languages, hasSubgroup, Bwe Karen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bwe Karen
Context triple: [Karenic languages, hasSubgroup, Bwe Karen]
  • A. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • B. Kaarina
    Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
  • C. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • 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: Bwe Karen
Triple: [Karenic languages, hasSubgroup, Bwe Karen]
Generated description
Bwe Karen is a subgroup of the Karenic-speaking Karen people, an ethnic group primarily inhabiting regions of Myanmar and neighboring areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bwe Karen
Target entity description: Bwe Karen is a subgroup of the Karenic-speaking Karen people, an ethnic group primarily inhabiting regions of Myanmar and neighboring areas.
  • A. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • B. Kaarina
    Kaarina is a town and municipality in southwestern Finland, located near the city of Turku.
  • C. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e333f08190a9ee87080c6d0118 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a240057081908826a5371ef5215b completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a2d073b08190a056e23cfdf13983 completed March 29, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8a37fabe481908c7da8a5d71a3f1c completed March 29, 2026, 3:58 a.m.
Created at: March 27, 2026, 4:01 p.m.