Triple
T12835348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akpabuyo |
E306895
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object |
Bakassi
Bakassi is a peninsula in the Gulf of Guinea, historically disputed between Nigeria and Cameroon and known for its rich fishing grounds and strategic location.
|
E1009526
|
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: Bakassi | Statement: [Akpabuyo, sharesBorderWith, Bakassi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakassi Context triple: [Akpabuyo, sharesBorderWith, Bakassi]
-
A.
Ubangi-Shari
Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
-
B.
Ubangi-Shari territory
Ubangi-Shari territory was a French colonial territory in central Africa that later became the modern nation of the Central African Republic.
-
C.
Iboundji
Iboundji is a small town in southeastern Gabon that serves as one of the local centers of administration and community life in Ogooué-Lolo Province.
-
D.
Abong-Mbang
Abong-Mbang is a town in eastern Cameroon that serves as a local administrative and commercial center in the East Region.
-
E.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
- 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: Bakassi Triple: [Akpabuyo, sharesBorderWith, Bakassi]
Generated description
Bakassi is a peninsula in the Gulf of Guinea, historically disputed between Nigeria and Cameroon and known for its rich fishing grounds and strategic location.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bakassi Target entity description: Bakassi is a peninsula in the Gulf of Guinea, historically disputed between Nigeria and Cameroon and known for its rich fishing grounds and strategic location.
-
A.
Ubangi-Shari
Ubangi-Shari was the French colonial territory in central Africa that later became the independent nation of the Central African Republic.
-
B.
Ubangi-Shari territory
Ubangi-Shari territory was a French colonial territory in central Africa that later became the modern nation of the Central African Republic.
-
C.
Iboundji
Iboundji is a small town in southeastern Gabon that serves as one of the local centers of administration and community life in Ogooué-Lolo Province.
-
D.
Abong-Mbang
Abong-Mbang is a town in eastern Cameroon that serves as a local administrative and commercial center in the East Region.
-
E.
Benina
Benina is a town in eastern Libya that serves as the main gateway to the nearby city of Benghazi through its international airport.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb1c7248190bb6e644e041d192e |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54838888190804202e45a55de48 |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a616f6e4819096c9850434882548 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a716bb2c81909dccc5ddbf3c92b5 |
completed | May 3, 2026, 1:38 a.m. |
Created at: April 9, 2026, 5:34 p.m.