Triple
T21263402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unguja Island |
E524062
|
entity |
| Predicate | hasLargestCity |
P235
|
FINISHED |
| Object | Zanzibar City |
—
|
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 City | Statement: [Unguja Island, hasLargestCity, Zanzibar City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zanzibar City Context triple: [Unguja Island, hasLargestCity, Zanzibar City]
-
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.
Dar es Salaam
Dar es Salaam is a major coastal metropolis on the Indian Ocean and the principal economic and commercial hub of Tanzania.
-
C.
Likasi
Likasi is a mining city in the southeastern Democratic Republic of the Congo, known for its significant copper and cobalt production.
-
D.
Mombasa
Mombasa is a major coastal city in Kenya known as a key regional port and historic trading hub on the Indian Ocean.
-
E.
Babati
Babati is a town in northern Tanzania that serves as an administrative and commercial hub near Lake Babati and the Tarangire National Park.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735e9b2788190b834ba38367fb6c7 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 4 p.m.