Triple
T16365238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soddo language |
E397417
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Soddo-Kistane
Soddo-Kistane is a Gurage Semitic language spoken in central Ethiopia, primarily by the Soddo (Kistane) people.
|
E1208515
|
NE FINISHED |
How this triple was built (4 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: Soddo-Kistane | Statement: [Soddo language, alternativeName, Soddo-Kistane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soddo-Kistane Context triple: [Soddo language, alternativeName, Soddo-Kistane]
-
A.
Banyole
The Banyole are a Bantu-speaking ethnic group in eastern Uganda known for their agricultural livelihoods, clan-based social structure, and rich oral traditions.
-
B.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
-
C.
Kerebe
Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
-
D.
Gambela
Gambela is a town in western Ethiopia located near the Baro River, known as a trading center and gateway to the Gambela Region bordering South Sudan.
-
E.
Melesse
Melesse is a commune in the Ille-et-Vilaine department of Brittany in northwestern France.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Soddo-Kistane Triple: [Soddo language, alternativeName, Soddo-Kistane]
Generated description
Soddo-Kistane is a Gurage Semitic language spoken in central Ethiopia, primarily by the Soddo (Kistane) people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soddo-Kistane Target entity description: Soddo-Kistane is a Gurage Semitic language spoken in central Ethiopia, primarily by the Soddo (Kistane) people.
-
A.
Banyole
The Banyole are a Bantu-speaking ethnic group in eastern Uganda known for their agricultural livelihoods, clan-based social structure, and rich oral traditions.
-
B.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
-
C.
Kerebe
Kerebe is a Bantu language spoken by the Kerewe people, primarily on Ukerewe Island in Lake Victoria, Tanzania.
-
D.
Gambela
Gambela is a town in western Ethiopia located near the Baro River, known as a trading center and gateway to the Gambela Region bordering South Sudan.
-
E.
Melesse
Melesse is a commune in the Ille-et-Vilaine department of Brittany in northwestern France.
- F. None of above. chosen
Provenance (5 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3c915c81909e1757fc31921876 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc0b3d4819089e6fba536ec8a11 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002f35af8081908ea9c3d0a991c396 |
completed | May 10, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002fa14ee4819080b02b368c0080b9 |
completed | May 10, 2026, 7:11 a.m. |
Created at: April 10, 2026, 5:08 a.m.