Triple
T17284560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selva Alta |
E419616
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Selva Baja
Selva Baja is a lowland tropical rainforest region of the Peruvian Amazon characterized by hot, humid climate, dense biodiversity, and relatively flat terrain.
|
E1260550
|
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: Selva Baja | Statement: [Selva Alta, adjacentTo, Selva Baja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selva Baja Context triple: [Selva Alta, adjacentTo, Selva Baja]
-
A.
Selva
Selva is the given first name of former Major League Baseball pitcher Lew Burdette.
-
B.
Selva
Selva is a coastal and inland comarca (county) in the province of Girona, Catalonia, known for its mix of Mediterranean beaches and forested interior landscapes.
-
C.
Selva Alta
Selva Alta is a high-elevation Amazonian rainforest zone in Peru characterized by steep terrain, dense cloud forests, and rich biodiversity.
-
D.
Llanos de Moxos
Llanos de Moxos is a vast seasonally flooded tropical savanna and wetland region in northern Bolivia, known for its rich biodiversity and extensive pre-Columbian earthworks.
-
E.
Gamboa Rainforest
Gamboa Rainforest is a lush tropical rainforest area near the Panama Canal known for its rich biodiversity, ecotourism lodges, and wildlife observation opportunities.
- 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: Selva Baja Triple: [Selva Alta, adjacentTo, Selva Baja]
Generated description
Selva Baja is a lowland tropical rainforest region of the Peruvian Amazon characterized by hot, humid climate, dense biodiversity, and relatively flat terrain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selva Baja Target entity description: Selva Baja is a lowland tropical rainforest region of the Peruvian Amazon characterized by hot, humid climate, dense biodiversity, and relatively flat terrain.
-
A.
Selva
Selva is a coastal and inland comarca (county) in the province of Girona, Catalonia, known for its mix of Mediterranean beaches and forested interior landscapes.
-
B.
Selva
Selva is the given first name of former Major League Baseball pitcher Lew Burdette.
-
C.
Selva Alta
Selva Alta is a high-elevation Amazonian rainforest zone in Peru characterized by steep terrain, dense cloud forests, and rich biodiversity.
-
D.
Llanos de Moxos
Llanos de Moxos is a vast seasonally flooded tropical savanna and wetland region in northern Bolivia, known for its rich biodiversity and extensive pre-Columbian earthworks.
-
E.
Gamboa Rainforest
Gamboa Rainforest is a lush tropical rainforest area near the Panama Canal known for its rich biodiversity, ecotourism lodges, and wildlife observation opportunities.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332bd324819080795152293d6d43 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017955448481909c2464a14c2a9799 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a017a193f6881908f39596cb235111f |
completed | May 11, 2026, 6:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017b5045d08190b7c7409960f1438c |
completed | May 11, 2026, 6:46 a.m. |
Created at: April 10, 2026, 5:40 a.m.