Triple

T19468048
Position Surface form Disambiguated ID Type / Status
Subject Bor E487049 entity
Predicate ethnicGroup P194 FINISHED
Object Dinka Bor 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: Dinka Bor | Statement: [Bor, ethnicGroup, Dinka Bor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinka Bor
Context triple: [Bor, ethnicGroup, Dinka Bor]
  • A. Bor Dinka chosen
    Bor Dinka are a prominent subgroup of the Dinka people of South Sudan, known for their Nilotic pastoralist culture, cattle herding traditions, and significant role in the country’s political and social history.
  • B. Rek Dinka
    Rek Dinka is a major dialect of the Dinka language spoken primarily by the Rek subgroup in South Sudan.
  • C. Bul Nuer
    Bul Nuer is a dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring regions.
  • D. Twic Dinka
    Twic Dinka are a distinct subgroup of the Dinka ethnic community of South Sudan, known for their pastoralist lifestyle, clan-based social structure, and rich cultural traditions.
  • E. Jikany Nuer
    Jikany Nuer is a dialect of the Nuer language spoken by the Jikany subgroup of the Nuer people in South Sudan and neighboring regions.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e4b230819097c8804ee91988ea completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.