Triple
T22908938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebolowa |
E568529
|
entity |
| Predicate | roadConnectionTo |
P9041
|
FINISHED |
| Object | Kribi |
—
|
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: Kribi | Statement: [Ebolowa, roadConnectionTo, Kribi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kribi Context triple: [Ebolowa, roadConnectionTo, Kribi]
-
A.
Kribi
chosen
Kribi is a coastal resort town in southern Cameroon known for its sandy beaches, fishing port, and proximity to the Chutes de la Lobé waterfalls.
-
B.
Limbé
Limbé is a historic town in northern Haiti known for its agricultural surroundings and role in the country’s colonial and revolutionary past.
-
C.
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.
-
D.
Ngaoundal
Ngaoundal is a town in Cameroon known as a local transport and mining hub within the Adamawa Region.
-
E.
Ndjolé, Gabon
Ndjolé, Gabon is a small town on the Ogooué River in central Gabon, historically known as a colonial outpost and the place where West African leader Samori Touré died in exile.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18072986881909eefb317ced5a145 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.