Triple

T11588440
Position Surface form Disambiguated ID Type / Status
Subject Zanaki people E274812 entity
Predicate ethnolinguisticGroup P3349 FINISHED
Object Zanaki E844478 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: Zanaki | Statement: [Zanaki people, ethnolinguisticGroup, Zanaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zanaki
Context triple: [Zanaki people, ethnolinguisticGroup, Zanaki]
  • A. Zanaki chosen
    Zanaki are a small Bantu-speaking ethnic group in northern Tanzania, historically known as the people of King Nyerere, father of Tanzania’s first president Julius Nyerere.
  • B. Ziria
    Ziria is a mountain in the northeastern Peloponnese of Greece, traditionally identified with Mount Cyllene, which is famed in Greek mythology as the birthplace of the god Hermes.
  • C. Zaʼtara
    Zaʼtara is a Palestinian village in the central West Bank, located southeast of Bethlehem.
  • D. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • E. Zannanza
    Zannanza was a Hittite prince, best known for his ill-fated journey to marry the Egyptian widow-queen that sparked a major diplomatic crisis between the Hittite and Egyptian empires.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86df14048190ae8f6d8b11610079 completed April 26, 2026, 9:42 p.m.
Created at: April 8, 2026, 9:38 p.m.