Triple

T7676340
Position Surface form Disambiguated ID Type / Status
Subject Karenic languages E173869 entity
Predicate hasSubgroup P747 FINISHED
Object Sgaw Karen E681616 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: Sgaw Karen | Statement: [Karenic languages, hasSubgroup, Sgaw Karen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sgaw Karen
Context triple: [Karenic languages, hasSubgroup, Sgaw Karen]
  • A. Sgaw Karen chosen
    Sgaw Karen is a major Karen ethnic group primarily living in Myanmar and Thailand, known for its distinct language and cultural traditions.
  • B. Hmong Daw
    Hmong Daw is a major variety of the Hmong language, widely spoken by Hmong communities in Southeast Asia and the global diaspora.
  • C. River Sawdde
    River Sawdde is a small river in Carmarthenshire, Wales, known for flowing through the western Brecon Beacons before joining the River Tywi.
  • D. Yawnghwe
    Yawnghwe is a historically significant Shan principality and town in present-day Myanmar, known for its royal palace and role as a former Shan State capital.
  • E. Tanintharyi River
    The Tanintharyi River is a major waterway in southern Myanmar’s Tanintharyi (Tenasserim) region, flowing through forested hills to the Andaman Sea and supporting local transport, agriculture, and biodiversity.
  • 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_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_69c8b4fa4f9c8190a1cd2c1aa173296d completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:01 p.m.