Triple
T7374181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assab Port |
E170082
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Assab
Assab is a coastal city in southeastern Eritrea on the Red Sea, known historically as a strategic port and trade hub.
|
E170082
|
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: Assab | Statement: [Assab Port, locatedIn, Assab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assab Context triple: [Assab Port, locatedIn, Assab]
-
A.
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.
-
B.
Massawa
Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
-
C.
Asmara
Asmara is the largest city of Eritrea, known for its well-preserved Italian colonial modernist architecture and status as a UNESCO World Heritage Site.
-
D.
Mekelle
Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
-
E.
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.
- 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: Assab Triple: [Assab Port, locatedIn, Assab]
Generated description
Assab is a coastal city in southeastern Eritrea on the Red Sea, known historically as a strategic port and trade hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Assab Target entity description: Assab is a coastal city in southeastern Eritrea on the Red Sea, known historically as a strategic port and trade hub.
-
A.
Assab Port
chosen
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.
-
B.
Massawa
Massawa is a historic Eritrean port city on the Red Sea, known for its strategic maritime location and Ottoman- and Italian-influenced architecture.
-
C.
Asmara
Asmara is the largest city of Eritrea, known for its well-preserved Italian colonial modernist architecture and status as a UNESCO World Heritage Site.
-
D.
Mekelle
Mekelle is the largest city and administrative, economic, and cultural center of Ethiopia’s northern Tigray Region.
-
E.
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.
- F. None of above.
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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a6643c81909d626c8b6a7a11fd |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802ce8e408190946637d04083521c |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c80739a09c819096267cc415e3655e |
completed | March 28, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c80810aff481909f4ac43f72101eb7 |
completed | March 28, 2026, 4:55 p.m. |
Created at: March 27, 2026, 3:07 p.m.