Triple
T14361444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Lomé |
E356112
|
entity |
| Predicate | hasOperator |
P179
|
FINISHED |
| Object |
Togo Terminal
Togo Terminal is a container terminal operator managing cargo handling and logistics services at the Port of Lomé in Togo.
|
E1094583
|
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: Togo Terminal | Statement: [Port of Lomé, hasOperator, Togo Terminal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Togo Terminal Context triple: [Port of Lomé, hasOperator, Togo Terminal]
-
A.
Daloa Airport
Daloa Airport is a regional public airport serving the city of Daloa in central Côte d'Ivoire.
-
B.
Kotoka International Airport
Kotoka International Airport is the main international gateway to Ghana, serving the capital city of Accra and acting as a key aviation hub in West Africa.
-
C.
Benina International Airport
Benina International Airport is the main international airport serving the city of Benghazi in eastern Libya.
-
D.
Lomé–Tokoin International Airport
Lomé–Tokoin International Airport is the main international airport serving Lomé, the capital city of Togo, and acts as a key air transport hub for the country.
-
E.
Benin Airport
Benin Airport is a domestic and regional airport serving the city of Benin City and its surrounding areas in Edo State, Nigeria.
- 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: Togo Terminal Triple: [Port of Lomé, hasOperator, Togo Terminal]
Generated description
Togo Terminal is a container terminal operator managing cargo handling and logistics services at the Port of Lomé in Togo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Togo Terminal Target entity description: Togo Terminal is a container terminal operator managing cargo handling and logistics services at the Port of Lomé in Togo.
-
A.
Daloa Airport
Daloa Airport is a regional public airport serving the city of Daloa in central Côte d'Ivoire.
-
B.
Kotoka International Airport
Kotoka International Airport is the main international gateway to Ghana, serving the capital city of Accra and acting as a key aviation hub in West Africa.
-
C.
Benina International Airport
Benina International Airport is the main international airport serving the city of Benghazi in eastern Libya.
-
D.
Lomé–Tokoin International Airport
Lomé–Tokoin International Airport is the main international airport serving Lomé, the capital city of Togo, and acts as a key air transport hub for the country.
-
E.
Benin Airport
Benin Airport is a domestic and regional airport serving the city of Benin City and its surrounding areas in Edo State, Nigeria.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fabec088190bd8128371b29e958 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4aba788190bd5ab8cbc772dcf1 |
completed | May 8, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_69fd4cd74d188190996367ab885c5531 |
completed | May 8, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4d5b489081908016e62d4db476ce |
completed | May 8, 2026, 2:41 a.m. |
Created at: April 10, 2026, 1:15 a.m.