Triple
T14352414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fidjrossè Beach |
E355886
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Cotonou city center |
E71791
|
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: Cotonou city center | Statement: [Fidjrossè Beach, near, Cotonou city center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cotonou city center Context triple: [Fidjrossè Beach, near, Cotonou city center]
-
A.
Cotonou
chosen
Cotonou is the largest city and economic hub of Benin, located on the Gulf of Guinea in West Africa.
-
B.
Abomey-Calavi
Abomey-Calavi is a major city in southern Benin, functioning as a rapidly growing suburban and academic hub near the economic capital Cotonou.
-
C.
Port of Cotonou
The Port of Cotonou is Benin’s principal seaport and a major West African maritime hub for regional trade and transit.
-
D.
Abidjan
Abidjan is a major economic and cultural hub on the southern coast of Côte d'Ivoire, known for its bustling port, modern skyline, and status as one of the largest cities in West Africa.
-
E.
Abidji
Abidji is a Kwa language of the Central Tano subgroup spoken by the Abidji people in southern Côte d’Ivoire.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4ff1e48190bd9419d70098cede |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729c439481909dac86ed6f5d6411 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:14 a.m.