Triple
T16448113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bamba Müller |
E399483
|
entity |
| Predicate | ethnicOrigin |
P194
|
FINISHED |
| Object | Ethiopian |
E263902
|
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: Ethiopian | Statement: [Bamba Müller, ethnicOrigin, Ethiopian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethiopian Context triple: [Bamba Müller, ethnicOrigin, Ethiopian]
-
A.
Ethiopian
chosen
Ethiopian refers to a person from Ethiopia or of Ethiopian descent, associated with the country's distinct cultures, languages, and history in the Horn of Africa.
-
B.
Ethiopic
Ethiopic is a writing system used primarily for languages of Ethiopia and Eritrea, such as Amharic, Tigrinya, and Geʽez.
-
C.
ETHIOPIAN
ETHIOPIAN is the radio callsign used by Ethiopian Airlines for its flight operations and air traffic communications.
-
D.
Eritrean
Eritrean refers to someone or something originating from Eritrea, a country in the Horn of Africa known for its diverse ethnic groups and Red Sea coastline.
-
E.
Oromo
Oromo is a Cushitic language widely spoken by the Oromo people, primarily in Ethiopia and parts of neighboring East African countries.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cddfc3c8190919b49f74b7e8e1a |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004594a4508190be08f3acfff36ab0 |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.