Triple

T11093655
Position Surface form Disambiguated ID Type / Status
Subject Madi language E262317 entity
Predicate hasDialect P4251 FINISHED
Object Madi of South Sudan E904341 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: Madi of South Sudan | Statement: [Madi language, hasDialect, Madi of South Sudan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madi of South Sudan
Context triple: [Madi language, hasDialect, Madi of South Sudan]
  • A. 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.
  • B. Madi of Uganda chosen
    Madi of Uganda is a regional variety of the Madi language spoken by Madi communities in northern Uganda.
  • C. Gawar Nuer
    Gawar Nuer is a dialect of the Nuer language spoken by the Gawar subgroup of the Nuer people in South Sudan.
  • D. 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.
  • E. Nyuong Nuer
    Nyuong Nuer is a regional dialect of the Nuer language spoken by the Nyuong subgroup of the Nuer people in South Sudan and neighboring areas.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d69c8b4819092614e83e855430e completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.