Triple
T17846970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Valley (Costa Rica) |
E445688
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Paraíso |
E1226343
|
NE FINISHED |
How this triple was built (2 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: [Central Valley (Costa Rica), hasMajorCity, Paraíso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paraíso Context triple: [Central Valley (Costa Rica), hasMajorCity, Paraíso]
-
A.
Paraíso
chosen
Paraíso is a municipality and town in Costa Rica known for its lush landscapes, coffee plantations, and proximity to Irazú Volcano.
-
B.
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.
-
C.
Paraiso
Paraiso is a barangay (village-level administrative division) within the city of Sagay in the Philippines.
-
D.
Paradis
Paradis is an ultra-premium cognac from Hennessy, renowned for its exceptionally smooth blend of rare, well-aged eaux-de-vie.
-
E.
Paradisa
Paradisa is a fictional idealized realm often depicted as a perfect, blissful paradise within the broader concept of Utopia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ffb35248190a80a428686e06d87 |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0307039ae881909222fcc9827735d2 |
completed | May 12, 2026, 10:54 a.m. |
Created at: April 10, 2026, 10:16 a.m.