Triple
T1983656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Côte d'Ivoire |
E43087
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
San-Pédro
San-Pédro is a major port city in southwestern Côte d'Ivoire, known especially for its role in the export of cocoa and other goods.
|
E223105
|
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: San-Pédro | Statement: [Côte d'Ivoire, hasMajorCity, San-Pédro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San-Pédro Context triple: [Côte d'Ivoire, hasMajorCity, San-Pédro]
-
A.
Praia
Praia is the capital and largest city of Cape Verde, located on the southern coast of Santiago Island in the central Atlantic Ocean.
-
B.
Saint-Laurent-du-Maroni
Saint-Laurent-du-Maroni is a major border town in western French Guiana, located on the Maroni River opposite Suriname and historically known for its former penal colony.
-
C.
Saint-Pierre
Saint-Pierre is the main town and administrative center of the French overseas collectivity of Saint Pierre and Miquelon, located off the coast of Newfoundland in the North Atlantic.
-
D.
Salvador
Salvador is the given name of the renowned Spanish surrealist artist Salvador Dalí.
-
E.
Bertioga
Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
- 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: San-Pédro Triple: [Côte d'Ivoire, hasMajorCity, San-Pédro]
Generated description
San-Pédro is a major port city in southwestern Côte d'Ivoire, known especially for its role in the export of cocoa and other goods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San-Pédro Target entity description: San-Pédro is a major port city in southwestern Côte d'Ivoire, known especially for its role in the export of cocoa and other goods.
-
A.
Praia
Praia is the capital and largest city of Cape Verde, located on the southern coast of Santiago Island in the central Atlantic Ocean.
-
B.
Saint-Laurent-du-Maroni
Saint-Laurent-du-Maroni is a major border town in western French Guiana, located on the Maroni River opposite Suriname and historically known for its former penal colony.
-
C.
Saint-Pierre
Saint-Pierre is the main town and administrative center of the French overseas collectivity of Saint Pierre and Miquelon, located off the coast of Newfoundland in the North Atlantic.
-
D.
Salvador
Salvador is the given name of the renowned Spanish surrealist artist Salvador Dalí.
-
E.
Bertioga
Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb820815481908aac6d89b437225b |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae03301a2481909f6147482d490b90 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae04eb6c5c8190914fc35975400784 |
completed | March 8, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae055df5ec8190ae39d938a8102b9d |
completed | March 8, 2026, 11:25 p.m. |
Created at: March 4, 2026, 7:37 p.m.