Triple
T15945282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Nations, Nationalities, and Peoples' Region |
E386668
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Jinka
Jinka is a small market town in southwestern Ethiopia known as a gateway to the Omo Valley and its diverse indigenous cultures.
|
E1186074
|
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: Jinka | Statement: [Southern Nations, Nationalities, and Peoples' Region, contains, Jinka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jinka Context triple: [Southern Nations, Nationalities, and Peoples' Region, contains, Jinka]
-
A.
Káⁿza
Káⁿza is the endonym for the Kansa (Kaw) language, a Siouan language traditionally spoken by the Kansa people of the central United States.
-
B.
Kinyara
Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
-
C.
Ngala
Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
-
D.
Ngala
Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
-
E.
Bulebel
Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
- 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: Jinka Triple: [Southern Nations, Nationalities, and Peoples' Region, contains, Jinka]
Generated description
Jinka is a small market town in southwestern Ethiopia known as a gateway to the Omo Valley and its diverse indigenous cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jinka Target entity description: Jinka is a small market town in southwestern Ethiopia known as a gateway to the Omo Valley and its diverse indigenous cultures.
-
A.
Káⁿza
Káⁿza is the endonym for the Kansa (Kaw) language, a Siouan language traditionally spoken by the Kansa people of the central United States.
-
B.
Kinyara
Kinyara is a town in Uganda’s Masindi District, best known for its large sugar estate and associated agro-industrial activities.
-
C.
Ngala
Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
-
D.
Ngala
Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
-
E.
Bulebel
Bulebel is an industrial and residential area forming part of the town of Żejtun in Malta.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d0d55c8190af59ff169e8add78 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe76df6481909f8246099faa377a |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf61b2ec81909c0f32613bb91a82 |
completed | May 9, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:53 a.m.