Triple
T17819837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Sea state |
E444949
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Port Sudan |
—
|
NE NERFINISHED |
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: Port Sudan | Statement: [Red Sea state, hasMajorCity, Port Sudan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port Sudan Context triple: [Red Sea state, hasMajorCity, Port Sudan]
-
A.
Port Sudan
chosen
Port Sudan is Sudan’s main seaport on the Red Sea, serving as the country’s primary hub for maritime trade and transport.
-
B.
Ras Lanuf
Ras Lanuf is a major oil port and industrial town on Libya’s Mediterranean coast, known for its large refinery and strategic role in the country’s petroleum exports.
-
C.
Assab Port
Assab Port is a strategic seaport in Eritrea on the Red Sea, serving as a key maritime hub near the Bab-el-Mandeb Strait for regional trade and shipping.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e489101aa48190a1439d8cb683bba9 |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.