Triple
T7522744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santo Antão (Cape Verde) |
E177811
|
entity |
| Predicate | transport |
P230
|
FINISHED |
| Object | Porto Novo ferry port |
E450703
|
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: Porto Novo ferry port | Statement: [Santo Antão (Cape Verde), transport, Porto Novo ferry port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Novo ferry port Context triple: [Santo Antão (Cape Verde), transport, Porto Novo ferry port]
-
A.
Porto Novo
chosen
Porto Novo is the main port town and administrative center on the island of Santo Antão in Cape Verde.
-
B.
Port of Cotonou
The Port of Cotonou is Benin’s principal seaport and a major West African maritime hub for regional trade and transit.
-
C.
Port of Conakry
The Port of Conakry is Guinea’s principal seaport and a key maritime gateway for the country’s international trade on the Atlantic coast.
-
D.
Port of Lomé
The Port of Lomé is Togo’s principal deep-water seaport on the Gulf of Guinea and a major regional hub for maritime trade in West Africa.
-
E.
Port of Cayenne
The Port of Cayenne is the main maritime gateway of French Guiana’s capital, handling regional cargo and serving as a hub for trade and supply along the northern coast of South America.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c4f32081908b5162f4551adb6d |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b10cbc8190a36be8351feaf832 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:46 p.m.