Triple
T16665406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartago Province |
E404969
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Paraíso
Paraíso is a municipality and town in Costa Rica known for its lush landscapes, coffee plantations, and proximity to Irazú Volcano.
|
E1226343
|
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: Paraíso | Statement: [Cartago Province, hasMunicipality, Paraíso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paraíso Context triple: [Cartago Province, hasMunicipality, Paraíso]
-
A.
Paraiso
Paraiso is a former Canal Zone town in Panama that historically housed workers and facilities supporting the operation and maintenance of the nearby Panama Canal.
-
B.
Paraiso
Paraiso is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
-
C.
Paradis
Paradis is an ultra-premium cognac from Hennessy, renowned for its exceptionally smooth blend of rare, well-aged eaux-de-vie.
-
D.
Paradisa
Paradisa is a fictional idealized realm often depicted as a perfect, blissful paradise within the broader concept of Utopia.
-
E.
Placencia
Placencia is a popular beach village and tourist destination on the Caribbean coast of southern Belize, known for its sandy peninsula, laid-back atmosphere, and access to nearby reefs and cayes.
- 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: Paraíso Triple: [Cartago Province, hasMunicipality, Paraíso]
Generated description
Paraíso is a municipality and town in Costa Rica known for its lush landscapes, coffee plantations, and proximity to Irazú Volcano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paraíso Target entity description: Paraíso is a municipality and town in Costa Rica known for its lush landscapes, coffee plantations, and proximity to Irazú Volcano.
-
A.
Paraiso
Paraiso is a former Canal Zone town in Panama that historically housed workers and facilities supporting the operation and maintenance of the nearby Panama Canal.
-
B.
Paraiso
Paraiso is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
-
C.
Paradis
Paradis is an ultra-premium cognac from Hennessy, renowned for its exceptionally smooth blend of rare, well-aged eaux-de-vie.
-
D.
Paradisa
Paradisa is a fictional idealized realm often depicted as a perfect, blissful paradise within the broader concept of Utopia.
-
E.
Placencia
Placencia is a popular beach village and tourist destination on the Caribbean coast of southern Belize, known for its sandy peninsula, laid-back atmosphere, and access to nearby reefs and cayes.
- 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37c9cd7ec819084aa9b2830874bf5 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084d21ed4819089fc70f92653694d |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a0085e04fc08190b974be9d6e27413d |
completed | May 10, 2026, 1:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00868e55dc8190bfc7cd1b78ec4d6d |
completed | May 10, 2026, 1:22 p.m. |
Created at: April 10, 2026, 5:18 a.m.