Triple

T18312099
Position Surface form Disambiguated ID Type / Status
Subject Oshindonga E438652 entity
Predicate hasDialects P4251 FINISHED
Object Central Oshindonga 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: Central Oshindonga | Statement: [Oshindonga, hasDialects, Central Oshindonga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Oshindonga
Context triple: [Oshindonga, hasDialects, Central Oshindonga]
  • A. Oshindonga chosen
    Oshindonga is a standardized Bantu language variety spoken primarily in northern Namibia and southern Angola, forming one of the main dialects of the Oshiwambo language cluster.
  • B. Ogwa
    Ogwa is a town located within Aniocha South Local Government Area in Delta State, southern Nigeria.
  • C. Oglewu
    Oglewu is a town in Ohimini Local Government Area of Benue State, Nigeria.
  • D. Ogwashi-Uku
    Ogwashi-Uku is a prominent town in Delta State, Nigeria, known as one of the key urban centers of the Anioma (Igbo-speaking) area.
  • E. Odzi River
    The Odzi River is a significant river in eastern Zimbabwe that flows through Manicaland Province and contributes to the Save River system.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50219cd548190b8da5f402d5da773 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.