Triple

T11810961
Position Surface form Disambiguated ID Type / Status
Subject Tutelo language E280869 entity
Predicate relatedTo P37 FINISHED
Object Saponi language E778728 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: Saponi language | Statement: [Tutelo language, relatedTo, Saponi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saponi language
Context triple: [Tutelo language, relatedTo, 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. Ponosakan language
    The Ponosakan language is an endangered Austronesian language traditionally spoken by a small community in northern Sulawesi, Indonesia.
  • E. Sa’och language
    The Sa’och language is an endangered Austroasiatic language spoken by the Sa’och people of Cambodia and Thailand, belonging to the Pearic branch.
  • 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_69d8a5ca50a081908a198b336d8c2b98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f13188b89c819095ba5d27de7ebbb2 completed April 28, 2026, 10:15 p.m.
Created at: April 8, 2026, 9:42 p.m.