Triple
T13804585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Region of Uganda |
E331727
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object |
Tepeth
The Tepeth are an indigenous ethnic group of northeastern Uganda, traditionally semi-nomadic pastoralists and farmers with a distinct language and culture linked to the Karamoja region.
|
E1061850
|
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: Tepeth | Statement: [Eastern Region of Uganda, hasEthnicGroup, Tepeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tepeth Context triple: [Eastern Region of Uganda, hasEthnicGroup, Tepeth]
-
A.
Kerepehi
Kerepehi is a small rural town in New Zealand’s North Island, situated in the Hauraki Plains area of the Waikato region.
-
B.
Tikipunga
Tikipunga is a residential suburb in the northern New Zealand city of Whangārei, known for its local schools, parks, and community facilities.
-
C.
Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
-
D.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
-
E.
Tepi
Tepi is a town in southwestern Ethiopia known for its coffee production and location within a lush, forested region.
- 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: Tepeth Triple: [Eastern Region of Uganda, hasEthnicGroup, Tepeth]
Generated description
The Tepeth are an indigenous ethnic group of northeastern Uganda, traditionally semi-nomadic pastoralists and farmers with a distinct language and culture linked to the Karamoja region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tepeth Target entity description: The Tepeth are an indigenous ethnic group of northeastern Uganda, traditionally semi-nomadic pastoralists and farmers with a distinct language and culture linked to the Karamoja region.
-
A.
Kerepehi
Kerepehi is a small rural town in New Zealand’s North Island, situated in the Hauraki Plains area of the Waikato region.
-
B.
Tikipunga
Tikipunga is a residential suburb in the northern New Zealand city of Whangārei, known for its local schools, parks, and community facilities.
-
C.
Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
-
D.
Tashtego
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
-
E.
Tepi
Tepi is a town in southwestern Ethiopia known for its coffee production and location within a lush, forested region.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08db39c8190a76637b36b77d643 |
completed | May 3, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69f7b18bbe688190855a26b8f2b4bcc0 |
completed | May 3, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7b260fc6c8190a573cc525388878e |
completed | May 3, 2026, 8:38 p.m. |
Created at: April 9, 2026, 10:12 p.m.