Triple
T1184815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nubia |
E25220
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Dongola
Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
|
E138678
|
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: Dongola | Statement: [Nubia, hasCity, Dongola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dongola Context triple: [Nubia, hasCity, Dongola]
-
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.
Gash‑Barka
Gash‑Barka is a largely agricultural region in southwestern Eritrea known for its fertile land and role as one of the country’s main food-producing areas.
-
C.
Aswan
Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
-
D.
Port Sudan
Port Sudan is Sudan’s main seaport on the Red Sea, serving as the country’s primary hub for maritime trade and transport.
-
E.
Juba
Juba is the capital and largest city of South Sudan, serving as its political, economic, and administrative center.
- 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: Dongola Triple: [Nubia, hasCity, Dongola]
Generated description
Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dongola Target entity description: Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the 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.
Gash‑Barka
Gash‑Barka is a largely agricultural region in southwestern Eritrea known for its fertile land and role as one of the country’s main food-producing areas.
-
C.
Aswan
Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
-
D.
Port Sudan
Port Sudan is Sudan’s main seaport on the Red Sea, serving as the country’s primary hub for maritime trade and transport.
-
E.
Juba
Juba is the capital and largest city of South Sudan, serving as its political, economic, and administrative center.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd39245881908766c41943dc2752 |
completed | March 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f3443588190af6c06383e904e7d |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fba00f0819086a0fffa090c5809 |
completed | March 7, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac807ead9c819088f7195aec87a538 |
completed | March 7, 2026, 7:46 p.m. |
Created at: March 1, 2026, 7:45 p.m.