Triple

T18906558
Position Surface form Disambiguated ID Type / Status
Subject Afro-Shirazi Party E462477 entity
Predicate headquartersLocation P62 FINISHED
Object Zanzibar Town 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: Zanzibar Town | Statement: [Afro-Shirazi Party, headquartersLocation, Zanzibar Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zanzibar Town
Context triple: [Afro-Shirazi Party, headquartersLocation, Zanzibar Town]
  • A. Zanzibar City chosen
    Zanzibar City is the historic and administrative capital of Zanzibar, Tanzania, renowned for its UNESCO-listed Stone Town and rich Swahili, Arab, and colonial heritage.
  • B. Stone Town
    Stone Town is the historic old quarter of Zanzibar City, renowned for its labyrinthine streets, Swahili architecture, and rich blend of African, Arab, Indian, and European cultural influences.
  • C. Zanzibar harbor
    Zanzibar harbor is a historically significant Indian Ocean port on the island of Zanzibar that served as a key hub for trade and maritime activity in East Africa.
  • D. Likasi
    Likasi is a mining city in the southeastern Democratic Republic of the Congo, known for its significant copper and cobalt production.
  • E. Omuta
    Omuta is an industrial city in southern Fukuoka Prefecture, Japan, historically known for its coal mining and chemical industries.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52cc9cc8190ac489d36e51693c8 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.