Triple
T8476648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sennar State |
E200409
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sennar city
Sennar city is an urban center in southeastern Sudan historically known as the capital of the Funj Sultanate and now an important town on the Blue Nile.
|
E740458
|
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: Sennar city | Statement: [Sennar State, contains, Sennar city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sennar city Context triple: [Sennar State, contains, Sennar city]
-
A.
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.
-
B.
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.
-
C.
Juba
Juba is the capital and largest city of South Sudan, serving as its political, economic, and administrative center.
-
D.
Adigrat
Adigrat is a major town in northern Ethiopia known as a commercial and administrative center near the Eritrean border.
-
E.
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.
- 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: Sennar city Triple: [Sennar State, contains, Sennar city]
Generated description
Sennar city is an urban center in southeastern Sudan historically known as the capital of the Funj Sultanate and now an important town on the Blue Nile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sennar city Target entity description: Sennar city is an urban center in southeastern Sudan historically known as the capital of the Funj Sultanate and now an important town on the Blue Nile.
-
A.
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.
-
B.
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.
-
C.
Juba
Juba is the capital and largest city of South Sudan, serving as its political, economic, and administrative center.
-
D.
Adigrat
Adigrat is a major town in northern Ethiopia known as a commercial and administrative center near the Eritrean border.
-
E.
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.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe51e21548190811e3c7ba7b196e5 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d019b748190a972ae32a56523c0 |
completed | April 2, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69ce6e66c5e48190badcc5e075892006 |
completed | April 2, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f0cc434819089e78d24dfee5361 |
completed | April 2, 2026, 1:28 p.m. |
Created at: March 30, 2026, 6:12 p.m.