Triple

T18409187
Position Surface form Disambiguated ID Type / Status
Subject Ochiherero E441706 entity
Predicate hasDialect P4251 FINISHED
Object Zemba 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: Zemba | Statement: [Ochiherero, hasDialect, Zemba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zemba
Context triple: [Ochiherero, hasDialect, Zemba]
  • A. Zemba chosen
    Zemba is a Bantu language variety spoken primarily in southwestern Angola and northern Namibia, closely related to and often considered a dialect of Herero.
  • B. Zoba
    Zoba is a subtribe within the Shammar tribal confederation, a prominent Arab tribe historically rooted in the Arabian Peninsula and surrounding regions.
  • C. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • D. Zabali
    Zabali is a coastal barangay in the municipality of Baler in Aurora province, Philippines, known for its beaches and proximity to popular surf spots.
  • E. Zare
    Zare is the surname of Richard N. Zare, a prominent American chemist known for his pioneering work in laser chemistry and molecular reaction dynamics.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5195b98808190b9cfb2e444f2b524 completed April 19, 2026, 6:05 p.m.
Created at: April 10, 2026, 10:47 a.m.