Triple

T20017198
Position Surface form Disambiguated ID Type / Status
Subject Eastern Siouan peoples E494752 entity
Predicate historicalLanguage P7165 FINISHED
Object Saponi language 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: Saponi language | Statement: [Eastern Siouan peoples, historicalLanguage, Saponi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saponi language
Context triple: [Eastern Siouan peoples, historicalLanguage, Saponi language]
  • A. Saponi language chosen
    The Saponi language is an extinct Siouan language once spoken by the Saponi people of the southeastern United States, closely related to other Eastern Siouan languages.
  • B. Sapo language
    Sapo language is a Kru language spoken by the Sapo people of Liberia.
  • C. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • D. Sowa language
    Sowa language is an Oceanic language traditionally spoken by a small community on Pentecost Island in Vanuatu.
  • E. Ponosakan language
    The Ponosakan language is an endangered Austronesian language traditionally spoken by a small community in northern Sulawesi, Indonesia.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623d76808190988990a8dc263ef7 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.