Triple
T14092577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affile |
E339171
|
entity |
| Predicate | nearbyMunicipality |
P4647
|
FINISHED |
| Object | Jenne |
E341692
|
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: Jenne | Statement: [Affile, nearbyMunicipality, Jenne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenne Context triple: [Affile, nearbyMunicipality, Jenne]
-
A.
Jenne
chosen
Jenne was a prominent medieval West African trading and scholarly city that played a key role in the economic and cultural life of the Songhai Empire.
-
B.
Sissala
Sissala are an ethnic group of northwestern Ghana, known for their distinct Gur language, agrarian lifestyle, and rich musical and oral traditions.
-
C.
Jina
Jina is a revered spiritual title in Jainism denoting an enlightened victor who has conquered inner passions and attained omniscience.
-
D.
Kejia
Kejia is another name for the Hakka language, a Sinitic language spoken by the Hakka people across southern China and various overseas communities.
-
E.
Jita
The Jita are a Bantu-speaking ethnic group primarily inhabiting areas around Lake Victoria in northwestern Tanzania.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee47f0881908aea8b5231b93f2f |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0aa2fbc8190b86fea2306363f1b |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.