Triple

T4672406
Position Surface form Disambiguated ID Type / Status
Subject Zanzibar Revolution E103594 entity
Predicate country P26 FINISHED
Object Zanzibar E73708 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: Zanzibar | Statement: [Zanzibar Revolution, country, Zanzibar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zanzibar
Context triple: [Zanzibar Revolution, country, Zanzibar]
  • A. Zanzibar chosen
    Zanzibar is a historically significant island and port off the coast of East Africa that became a key hub for Indian Ocean trade, particularly in spices, ivory, and slaves.
  • B. Kilwa Island
    Kilwa Island is a coastal island in southeastern Tanzania best known for the historic Swahili trading city of Kilwa Kisiwani and its UNESCO-listed medieval ruins.
  • C. Mombasa Island
    Mombasa Island is a coastal island in southeastern Kenya that hosts much of the city of Mombasa, including its historic Old Town and key port facilities.
  • D. Vilankulo
    Vilankulo is a coastal town in southern Mozambique known as the main gateway to the nearby Bazaruto Archipelago and its popular beach and marine tourism.
  • E. Tanzania
    Tanzania is an East African nation known for its vast wilderness areas, including the Serengeti National Park and Mount Kilimanjaro, as well as its rich cultural diversity.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6351ca8c8190871b9bebdb7ab88d completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be039538048190b4075daf47355cee completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.