Triple
T14797708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slave Coast |
E347822
|
entity |
| Predicate | majorPort |
P528
|
FINISHED |
| Object | Porto-Novo |
E171111
|
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 | Statement: [Slave Coast, majorPort, Porto-Novo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto-Novo Context triple: [Slave Coast, majorPort, Porto-Novo]
-
A.
Porto-Novo
chosen
Porto-Novo is the official capital city of Benin, known for its colonial architecture and role as a political and cultural center in West Africa.
-
B.
Porto Novo
Porto Novo is the main port town and administrative center on the island of Santo Antão in Cape Verde.
-
C.
João Pessoa
João Pessoa is the capital and largest city of the Brazilian state of Paraíba, known for its historic colonial architecture and easternmost location in the Americas.
-
D.
Campina Grande
Campina Grande is a major city in northeastern Brazil known for its technology and education hubs and for hosting one of the world’s largest São João (June) festivals.
-
E.
Porto Amboim
Porto Amboim is a coastal municipality and port town in western Angola known for its role in regional fishing and maritime 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd6131f08190885f1d27b4bfac7a |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f6c6148190941b05d06d4dc54d |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:31 a.m.