Triple

T11806446
Position Surface form Disambiguated ID Type / Status
Subject Tanintharyi Region E280756 entity
Predicate ethnicGroup P194 FINISHED
Object Karen E61141 NE FINISHED

How this triple was built (2 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: Karen | Statement: [Tanintharyi Region, ethnicGroup, Karen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen
Context triple: [Tanintharyi Region, ethnicGroup, Karen]
  • A. Karen chosen
    The Karen are an indigenous ethnic group of Southeast Asia, primarily living in Myanmar and Thailand, with distinct languages, cultures, and a long history of political struggle and displacement.
  • B. Karen
    Karen is an affluent, leafy residential suburb of Nairobi known for its large homes, green spaces, and proximity to the Ngong Hills.
  • C. Karen
    Karen is a common feminine given name used in many English-speaking and European countries.
  • D. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • E. Kathleen
    "Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1315b4b1481908106984a1362be89 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.