Triple
T22242179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alto Selva Alegre District |
E549749
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object |
Alto Selva Alegre
Alto Selva Alegre is an urban center in southern Peru that serves as the capital of the Alto Selva Alegre District in the Arequipa region.
|
E1526560
|
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: Alto Selva Alegre | Statement: [Alto Selva Alegre District, hasCapital, Alto Selva Alegre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alto Selva Alegre Context triple: [Alto Selva Alegre District, hasCapital, Alto Selva Alegre]
-
A.
Río Negro Alto
Río Negro Alto is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
-
B.
Amuzgo Alto
Amuzgo Alto is a variant of the Amuzgo indigenous language spoken primarily in the highland regions of southern Mexico.
-
C.
Yaguará
Yaguará is a municipality and town in the Huila Department of southwestern Colombia, known for its proximity to the Betania Reservoir and its agricultural activities.
-
D.
Aiguá
Aiguá is a small town in southeastern Uruguay known for its rural character and location within the Maldonado Department.
-
E.
Selva Alta
Selva Alta is a high-elevation Amazonian rainforest zone in Peru characterized by steep terrain, dense cloud forests, and rich biodiversity.
- 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: Alto Selva Alegre Triple: [Alto Selva Alegre District, hasCapital, Alto Selva Alegre]
Generated description
Alto Selva Alegre is an urban center in southern Peru that serves as the capital of the Alto Selva Alegre District in the Arequipa region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alto Selva Alegre Target entity description: Alto Selva Alegre is an urban center in southern Peru that serves as the capital of the Alto Selva Alegre District in the Arequipa region.
-
A.
Río Negro Alto
Río Negro Alto is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
-
B.
Amuzgo Alto
Amuzgo Alto is a variant of the Amuzgo indigenous language spoken primarily in the highland regions of southern Mexico.
-
C.
Yaguará
Yaguará is a municipality and town in the Huila Department of southwestern Colombia, known for its proximity to the Betania Reservoir and its agricultural activities.
-
D.
Aiguá
Aiguá is a small town in southeastern Uruguay known for its rural character and location within the Maldonado Department.
-
E.
Selva Alta
Selva Alta is a high-elevation Amazonian rainforest zone in Peru characterized by steep terrain, dense cloud forests, and rich biodiversity.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132150a3c81908eba0683819e26d0 |
completed | April 28, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab658d0bc81909f2b828296b20068 |
completed | May 18, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_6a0ab6ec0b5c819091e5c71354fef0b6 |
completed | May 18, 2026, 6:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab7bb6fbc81909e54be3d1ae98cbf |
completed | May 18, 2026, 6:54 a.m. |
Created at: April 16, 2026, 8:38 p.m.