Triple
T14434399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Cotonou |
E357919
|
entity |
| Predicate | UNLOCODE |
P1800
|
FINISHED |
| Object |
BJCOO
BJCOO is the UN/LOCODE identifier for the Port of Cotonou, the principal seaport of Benin and a key maritime hub in West Africa.
|
E1098403
|
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: BJCOO | Statement: [Port of Cotonou, UNLOCODE, BJCOO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BJCOO Context triple: [Port of Cotonou, UNLOCODE, BJCOO]
-
A.
BCOE
BCOE is the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside, known for its programs in engineering and applied sciences.
-
B.
BJCC
BJCC is a major multi-purpose convention, entertainment, and sports complex located in downtown Birmingham, Alabama.
-
C.
BOCOG
BOCOG (Beijing Organizing Committee for the Olympic Games) was the official body responsible for planning and staging the 2008 Beijing Olympic and Paralympic Games.
-
D.
BCB
BCB is the commonly used abbreviation for Bard College Berlin, a liberal arts university in Berlin, Germany.
-
E.
BCB
BCB is the Central Bank of Brazil, the country’s primary monetary authority responsible for implementing monetary policy, regulating the financial system, and issuing currency.
- 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: BJCOO Triple: [Port of Cotonou, UNLOCODE, BJCOO]
Generated description
BJCOO is the UN/LOCODE identifier for the Port of Cotonou, the principal seaport of Benin and a key maritime hub in West Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BJCOO Target entity description: BJCOO is the UN/LOCODE identifier for the Port of Cotonou, the principal seaport of Benin and a key maritime hub in West Africa.
-
A.
BCOE
BCOE is the Marlan and Rosemary Bourns College of Engineering at the University of California, Riverside, known for its programs in engineering and applied sciences.
-
B.
BJCC
BJCC is a major multi-purpose convention, entertainment, and sports complex located in downtown Birmingham, Alabama.
-
C.
BOCOG
BOCOG (Beijing Organizing Committee for the Olympic Games) was the official body responsible for planning and staging the 2008 Beijing Olympic and Paralympic Games.
-
D.
BCB
BCB is the commonly used abbreviation for Bard College Berlin, a liberal arts university in Berlin, Germany.
-
E.
BCB
BCB is the Central Bank of Brazil, the country’s primary monetary authority responsible for implementing monetary policy, regulating the financial system, and issuing currency.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd5b1d08190a89e6f004a94b361 |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5ca8e36c8190873d0e2a82f62623 |
completed | May 8, 2026, 3:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5d46d974819085a43c51b414ff9a |
completed | May 8, 2026, 3:49 a.m. |
Created at: April 10, 2026, 1:18 a.m.