Triple

T15876444
Position Surface form Disambiguated ID Type / Status
Subject Sara people E384963 entity
Predicate languageGroup P3349 FINISHED
Object Sara languages E262315 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: Sara languages | Statement: [Sara people, languageGroup, Sara languages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara languages
Context triple: [Sara people, languageGroup, Sara languages]
  • A. Sara languages chosen
    Sara languages are a group of closely related Central Sudanic languages spoken primarily in southern Chad and neighboring regions.
  • B. Sar language
    Sar language is a Papuan language spoken on Pantar Island in eastern Indonesia, known for its complex verb morphology and membership in the Alor–Pantar language family.
  • C. Saho language
    The Saho language is an Afroasiatic Cushitic language spoken primarily by the Saho people in Eritrea and northern Ethiopia.
  • D. Sabaot language
    The Sabaot language is a Nilotic language spoken by the Sabaot people of western Kenya and eastern Uganda, closely associated with the Kalenjin language cluster.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fdc1b881909d1c82c4c66a195a completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa950a890819092bc1e8895034593 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.