Triple

T20308408
Position Surface form Disambiguated ID Type / Status
Subject Stieng people E510164 entity
Predicate autonym P1435 FINISHED
Object Stiêng NE NERFINISHED

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: Stiêng | Statement: [Stieng people, autonym, Stiêng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stiêng
Context triple: [Stieng people, autonym, Stiêng]
  • A. Stieng chosen
    Stieng is an Austroasiatic language spoken by the Stieng ethnic group in parts of Vietnam and Cambodia.
  • B. Stignano
    Stignano is a small town in the Calabria region of southern Italy, known as the birthplace of the early Renaissance humanist Coluccio Salutati.
  • C. The Stuic
    The Stuic is a prominent rocky outcrop and subsidiary top on the southeastern side of Lochnagar in the Scottish Highlands, popular with hillwalkers and climbers.
  • D. Steng
    Steng is the family name of Austrian actor and director Klaus Maria Brandauer, known for his acclaimed performances in European cinema and Hollywood films.
  • E. Stisted
    Stisted is an English surname most notably associated with Henry William Stisted, a 19th-century British Army officer and colonial administrator.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677411cf08190ba7e98a4135b643a completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:18 a.m.