Triple
T14796790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aduana |
E347801
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Aduana Abon |
E347801
|
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: Aduana Abon | Statement: [Aduana, alsoKnownAs, Aduana Abon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aduana Abon Context triple: [Aduana, alsoKnownAs, Aduana Abon]
-
A.
Aduana
chosen
Aduana is one of the major Akan clans of Ghana, traditionally associated with attributes of leadership, fire, and origin myths involving a dog and fire.
-
B.
Builsa
The Builsa are an indigenous ethnic group of northern Ghana known for their distinct Gur language, rich agricultural traditions, and vibrant festivals such as the Feok harvest celebration.
-
C.
Ikorodu
Ikorodu is a rapidly growing suburban city and local government area in the northeastern part of Lagos State, Nigeria, known for its residential communities and emerging commercial activity.
-
D.
Owusu Addo
Owusu Addo is a Ghanaian surname borne by various notable individuals, including figures in music, sports, and public life.
-
E.
Abobo
Abobo is a town in western Ethiopia that serves as one of the main urban centers of the Gambela Region.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c0beb0819081a124479a849bb6 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.