Triple
T7563833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Historical Museum of Abomey |
E178859
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Abomey |
E178859
|
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: Abomey | Statement: [Historical Museum of Abomey, locatedIn, Abomey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abomey Context triple: [Historical Museum of Abomey, locatedIn, Abomey]
-
A.
Abomey
chosen
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.
-
B.
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.
-
C.
Lomé
Lomé is the coastal capital and largest city of Togo, serving as a key economic and cultural hub in West Africa.
-
D.
Cabira
Cabira was an ancient city in the region of Pontus in Asia Minor, later known as Neocaesarea under Roman rule.
-
E.
Bignona
Bignona is a town in southern Senegal’s Casamance region, known as a local center of trade and cultural diversity.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fb1c00819096bdb73334d8d72e |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8615c98808190a9dd598846a598b2 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:50 p.m.