Triple
T23528351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanumba |
E576494
|
entity |
| Predicate | traditionalCapital |
P20966
|
FINISHED |
| Object | Bimbilla |
—
|
NE NERFINISHED |
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: Bimbilla | Statement: [Nanumba, traditionalCapital, Bimbilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bimbilla Context triple: [Nanumba, traditionalCapital, Bimbilla]
-
A.
Bimbilla
chosen
Bimbilla is a town in northern Ghana that serves as the capital of the Nanumba North District and a local hub for administration and trade.
-
B.
Bibbona
Bibbona is a historic Tuscan village in central Italy known for its medieval architecture and proximity to the Etruscan Coast.
-
C.
Pombia
Pombia is a small municipality in Italy’s Piedmont region, historically notable as the place where Liudolf, Duke of Swabia, died.
-
D.
Sarapochiello
Sarapochiello is the Italian family name of American actress Mia Sara, known for her role as Sloane Peterson in the film "Ferris Bueller's Day Off."
-
E.
Pellestrinotto
Pellestrinotto is a local Venetian dialect spoken on the island of Pellestrina in the Venetian Lagoon, characterized by distinctive phonetic and lexical features within the Venetian language.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac758038819098f5f597be39274e |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.