Triple
T17257838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rufisque Department |
E418928
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Rufisque |
E350755
|
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: Rufisque | Statement: [Rufisque Department, administrativeCenter, Rufisque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rufisque Context triple: [Rufisque Department, administrativeCenter, Rufisque]
-
A.
Rufisque
chosen
Rufisque is a coastal city in western Senegal that developed as an important Atlantic trading port and now forms part of the Dakar metropolitan area.
-
B.
Rumuokoro
Rumuokoro is a bustling urban town and major commercial transport hub in Obio-Akpor, within the Port Harcourt metropolitan area of Rivers State, Nigeria.
-
C.
Stanleyville
Stanleyville is the former colonial name of Kisangani, a major city in the northeastern Democratic Republic of the Congo located on the Congo River.
-
D.
Nossi-Bé
Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
-
E.
Brikama
Brikama is a major town in western Gambia known as an administrative center and hub of education, culture, and trade.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6dde4881908e7fc01fd5364616 |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179445cac8190833eb7cd879a93bd |
completed | May 11, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:39 a.m.