Triple
T10898934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Khartum Bahri |
E257382
|
entity |
| Predicate | hasArabicName |
P6450
|
FINISHED |
| Object | الخرطوم بحري |
E257382
|
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: الخرطوم بحري | Statement: [Al-Khartum Bahri, hasArabicName, الخرطوم بحري]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: الخرطوم بحري Context triple: [Al-Khartum Bahri, hasArabicName, الخرطوم بحري]
-
A.
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.
-
B.
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.
-
C.
Juba
Juba is the capital and largest city of South Sudan, serving as its political, economic, and administrative center.
-
D.
Juba
Juba is a character in Joseph Addison’s tragedy "Cato," depicted as a noble Numidian prince whose honor and virtue contrast with the corruption of Rome.
-
E.
Al-Khartum Bahri
chosen
Al-Khartum Bahri is the Arabic name for Khartoum North, a major city and industrial hub forming part of Sudan’s capital metropolitan area.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a2392c8190bc2c2359d63eff7a |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15524ec5c8190a330ce5fc16dd11d |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:21 p.m.