Triple
T3354907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freetown |
E70581
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object |
Port of Freetown
The Port of Freetown is Sierra Leone’s principal deep-water seaport and a key maritime hub for trade and shipping in West Africa.
|
E351822
|
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: Port of Freetown | Statement: [Freetown, hasPort, Port of Freetown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Freetown Context triple: [Freetown, hasPort, Port of Freetown]
-
A.
Port of Monrovia
The Port of Monrovia is Liberia’s principal seaport and a key hub for the country’s international trade and maritime activities.
-
B.
Port of Conakry
The Port of Conakry is Guinea’s principal seaport and a key maritime gateway for the country’s international trade on the Atlantic coast.
-
C.
Port of Tema
The Port of Tema is Ghana’s largest and busiest seaport, serving as a major hub for maritime trade and cargo handling in West Africa.
-
D.
Port of San-Pédro
The Port of San-Pédro is a major seaport in southwestern Côte d'Ivoire that serves as a key hub for the export of commodities such as cocoa and timber.
-
E.
Freetown
Freetown is the capital and largest city of Sierra Leone, known as a historic port and former center for resettled freed slaves in West Africa.
- 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: Port of Freetown Triple: [Freetown, hasPort, Port of Freetown]
Generated description
The Port of Freetown is Sierra Leone’s principal deep-water seaport and a key maritime hub for trade and shipping in West Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Port of Freetown Target entity description: The Port of Freetown is Sierra Leone’s principal deep-water seaport and a key maritime hub for trade and shipping in West Africa.
-
A.
Port of Monrovia
The Port of Monrovia is Liberia’s principal seaport and a key hub for the country’s international trade and maritime activities.
-
B.
Port of Conakry
The Port of Conakry is Guinea’s principal seaport and a key maritime gateway for the country’s international trade on the Atlantic coast.
-
C.
Port of Tema
The Port of Tema is Ghana’s largest and busiest seaport, serving as a major hub for maritime trade and cargo handling in West Africa.
-
D.
Port of San-Pédro
The Port of San-Pédro is a major seaport in southwestern Côte d'Ivoire that serves as a key hub for the export of commodities such as cocoa and timber.
-
E.
Freetown
Freetown is the capital and largest city of Sierra Leone, known as a historic port and former center for resettled freed slaves in West Africa.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2419a808190a54fc03eeec6e42d |
completed | March 8, 2026, 5:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b325373a1c8190b26d883e2f0dd92b |
completed | March 12, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69b329016c7c819098b494ae5d712036 |
completed | March 12, 2026, 8:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b329aca800819091f287a2f00557a2 |
completed | March 12, 2026, 9:01 p.m. |
Created at: March 8, 2026, 3:13 p.m.