Triple

T5264150
Position Surface form Disambiguated ID Type / Status
Subject Dina E118897 entity
Predicate hasDiminutiveForm P456 FINISHED
Object Dinka E175971 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: Dinka | Statement: [Dina, hasDiminutiveForm, Dinka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinka
Context triple: [Dina, hasDiminutiveForm, Dinka]
  • A. Dinka chosen
    Dinka is a Nilotic language spoken primarily by the Dinka people of South Sudan.
  • B. Tekeze River
    The Tekeze River is a major river in the Horn of Africa that flows through northern Ethiopia and Eritrea, carving one of the deepest gorges in Africa before joining the Atbarah River.
  • C. Hadejia
    Hadejia is a historic commercial and agricultural town in northeastern Nigeria, known for its emirate, river basin, and role as a key urban center in Jigawa State.
  • D. Tuma River
    The Tuma River is a significant waterway in Nicaragua that serves as a major tributary feeding the country’s largest freshwater body, Gran Lago (Lake Nicaragua).
  • E. Gash River
    The Gash River is a seasonal river in northeastern Africa that flows from the Ethiopian highlands through western Eritrea and eastern Sudan, supporting agriculture and settlements along its course before dissipating into the desert.
  • 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_69bd446a42c88190b7ecbef006561d55 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bd4a9888190a79ef8e64c764f86 completed March 20, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe88ba588190b130f1857536816f completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:51 p.m.