Triple
T11627005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukerewe District |
E276295
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Nansio |
E269612
|
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: Nansio | Statement: [Ukerewe District, administrativeCenter, Nansio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nansio Context triple: [Ukerewe District, administrativeCenter, Nansio]
-
A.
Nansio
chosen
Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
-
B.
Nembe
Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
-
C.
Nawuli
Nawuli is an alternative name for the Nawuri language, a Guang language spoken primarily in parts of Ghana.
-
D.
Njaba
Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
-
E.
Niazi
Niazi is a Pashtun surname associated with the Niazi tribe of Pakistan and Afghanistan, notably borne by Pakistani politician and former cricketer Imran Khan.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1259cd08190a75eeacb5e39b858 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f019075f4c81908e0cde830231b229 |
completed | April 28, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.