Triple
T14238346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karamojong |
E352944
|
entity |
| Predicate | relatedGroup |
P37
|
FINISHED |
| Object | Iteso |
E247395
|
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: Iteso | Statement: [Karamojong, relatedGroup, Iteso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iteso Context triple: [Karamojong, relatedGroup, Iteso]
-
A.
Iteso
The Iteso are a Nilotic ethnic group primarily inhabiting eastern Uganda and western Kenya, known for their agro-pastoral lifestyle and rich cultural traditions.
-
B.
Mbita
Mbita is a town in western Kenya situated on the shores of Lake Victoria, serving as a local commercial and transport hub, including access to nearby islands.
-
C.
Iteso people
chosen
The Iteso people are a Nilotic ethnic group primarily inhabiting eastern Uganda and western Kenya, known for their agro-pastoral lifestyle and rich cultural traditions.
-
D.
Owendo
Owendo is a port city in western Gabon that serves as an important industrial and maritime hub near the capital, Libreville.
-
E.
Iganga
Iganga is a town in southeastern Uganda that serves as a commercial and transport hub along the main highway between Kampala and the eastern border with Kenya.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62422e28819089e7115052a28c96 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd281f80548190ad489c418f27e82c |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.