Triple
T19249360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salva Kiir Mayardit |
E481348
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Kiir Mayardit
Kiir Mayardit is a South Sudanese politician who has served as the country’s president since its independence in 2011.
|
E1366475
|
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: Kiir Mayardit | Statement: [Salva Kiir Mayardit, familyName, Kiir Mayardit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiir Mayardit Context triple: [Salva Kiir Mayardit, familyName, Kiir Mayardit]
-
A.
Zintan
Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
-
B.
Dutse Dabo
Dutse Dabo is a locality within the Bwari Area Council of Nigeria’s Federal Capital Territory, functioning as one of the council’s constituent communities.
-
C.
Safaga
Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
-
D.
Omdurman
Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
-
E.
Moroto
Moroto is a town in northeastern Uganda that serves as the main administrative and commercial center of the Karamoja 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: Kiir Mayardit Triple: [Salva Kiir Mayardit, familyName, Kiir Mayardit]
Generated description
Kiir Mayardit is a South Sudanese politician who has served as the country’s president since its independence in 2011.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiir Mayardit Target entity description: Kiir Mayardit is a South Sudanese politician who has served as the country’s president since its independence in 2011.
-
A.
Zintan
Zintan is a town in western Libya known for its role in the Libyan Civil War and for being controlled by powerful local militias.
-
B.
Dutse Dabo
Dutse Dabo is a locality within the Bwari Area Council of Nigeria’s Federal Capital Territory, functioning as one of the council’s constituent communities.
-
C.
Safaga
Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
-
D.
Omdurman
Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
-
E.
Moroto
Moroto is a town in northeastern Uganda that serves as the main administrative and commercial center of the Karamoja 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2f43e48190abab5257bec8e6aa |
completed | April 20, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705e2d3948190b1ff731f648f68c7 |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a0706bd92b48190848fcf5be679d207 |
completed | May 15, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070763ca5c81908afa73b30645223a |
completed | May 15, 2026, 11:45 a.m. |
Created at: April 10, 2026, 1:27 p.m.