Triple
T18038105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra of Peru |
E431565
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Selva of Peru |
—
|
NE NERFINISHED |
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: Selva of Peru | Statement: [Sierra of Peru, borders, Selva of Peru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selva of Peru Context triple: [Sierra of Peru, borders, Selva of Peru]
-
A.
Peruvian Amazon
chosen
The Peruvian Amazon is the vast northeastern portion of Peru covered by tropical rainforest, renowned for its extraordinary biodiversity, indigenous cultures, and river systems feeding the Amazon River.
-
B.
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.
-
C.
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.
-
D.
Selva
Selva is the given first name of former Major League Baseball pitcher Lew Burdette.
-
E.
El Bosque
El Bosque is the popular nickname for Estadio Juan Carmelo Zerillo, the historic football stadium of Gimnasia y Esgrima La Plata in Argentina.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be3bc3208190a6db569e79f06232 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.