Triple
T7522728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santo Antão (Cape Verde) |
E177811
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Porto Novo |
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 | Statement: [Santo Antão (Cape Verde), largestCity, Porto Novo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Novo Context triple: [Santo Antão (Cape Verde), largestCity, Porto Novo]
-
A.
Porto Novo
chosen
Porto Novo is the main port town and administrative center on the island of Santo Antão in Cape Verde.
-
B.
Porto-Novo
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.
-
C.
Ouidah
Ouidah is a coastal city in Benin historically known as a major center of the transatlantic slave trade and for its rich Vodun (Voodoo) cultural heritage.
-
D.
Cotonou
Cotonou is the largest city and economic hub of Benin, located on the Gulf of Guinea in West Africa.
-
E.
Port of Cotonou
The Port of Cotonou is Benin’s principal seaport and a major West African maritime hub for regional trade and transit.
- 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_69c84efbbed48190baa687bb738a0c54 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:46 p.m.