Triple
T12035658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Brown |
E286530
|
entity |
| Predicate | notableWork |
P4
|
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: [Marion Brown, notableWork, Porto Novo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porto Novo Context triple: [Marion Brown, notableWork, 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.
Parakou
Parakou is a major city in central Benin that serves as an important commercial and transportation hub for the surrounding region.
-
E.
Biassou
Biassou was a prominent early leader of the Haitian Revolution, known for his role in organizing and directing the initial slave uprisings against French colonial rule.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d7d453c8190a27c5feca8f38991 |
completed | May 1, 2026, 12:33 p.m. |
Created at: April 8, 2026, 9:47 p.m.