Triple
T8353175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrice Talon |
E196611
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Ouidah |
E178108
|
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: Ouidah | Statement: [Patrice Talon, placeOfBirth, Ouidah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ouidah Context triple: [Patrice Talon, placeOfBirth, Ouidah]
-
A.
Ouidah
chosen
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.
-
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.
Abomey
Abomey is a historic city in southern Benin that served as the capital of the powerful Kingdom of Dahomey and is renowned for its royal palaces and cultural heritage.
-
D.
Porto Novo
Porto Novo is the main port town and administrative center on the island of Santo Antão in Cape Verde.
-
E.
Limbé
Limbé is a historic town in northern Haiti known for its agricultural surroundings and role in the country’s colonial and revolutionary past.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804756088190a766e1a486ccfdff |
completed | March 31, 2026, 8:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc75e94288190ba1905dd4ca172dd |
completed | April 2, 2026, 1:33 a.m. |
Created at: March 30, 2026, 5:59 p.m.