Triple
T11123214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazonía Ecuatoriana |
E263068
|
entity |
| Predicate | includesProvince |
P11085
|
FINISHED |
| Object |
Napo
Napo is a province in Ecuador known for its rich Amazon rainforest landscapes, indigenous communities, and ecotourism.
|
E906151
|
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: Napo | Statement: [Amazonía Ecuatoriana, includesProvince, Napo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Napo Context triple: [Amazonía Ecuatoriana, includesProvince, Napo]
-
A.
Amazan
Amazan is the adventurous and virtuous hero of Voltaire’s philosophical tale "La Princesse de Babylone."
-
B.
Amazona
Amazona is a genus of colorful, medium-sized parrots native to the Americas, many of which are known for their strong vocal abilities and popularity in aviculture.
-
C.
Puerto Francisco de Orellana
Puerto Francisco de Orellana is a small city in Ecuador’s Amazon region, serving as a key gateway for river transport and rainforest tourism.
-
D.
Sapajus
Sapajus is a genus of robust capuchin monkeys native to Central and South America, known for their high intelligence, tool use, and complex social behavior.
-
E.
Tetã Paraguái
Tetã Paraguái is the Guaraní-language name for the South American country of Paraguay.
- 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: Napo Triple: [Amazonía Ecuatoriana, includesProvince, Napo]
Generated description
Napo is a province in Ecuador known for its rich Amazon rainforest landscapes, indigenous communities, and ecotourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Napo Target entity description: Napo is a province in Ecuador known for its rich Amazon rainforest landscapes, indigenous communities, and ecotourism.
-
A.
Amazan
Amazan is the adventurous and virtuous hero of Voltaire’s philosophical tale "La Princesse de Babylone."
-
B.
Amazona
Amazona is a genus of colorful, medium-sized parrots native to the Americas, many of which are known for their strong vocal abilities and popularity in aviculture.
-
C.
Puerto Francisco de Orellana
Puerto Francisco de Orellana is a small city in Ecuador’s Amazon region, serving as a key gateway for river transport and rainforest tourism.
-
D.
Sapajus
Sapajus is a genus of robust capuchin monkeys native to Central and South America, known for their high intelligence, tool use, and complex social behavior.
-
E.
Tetã Paraguái
Tetã Paraguái is the Guaraní-language name for the South American country of Paraguay.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7e82e933481908550499cf9dd6531 |
completed | April 9, 2026, 5:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d8643748190a7801fc401dd2b5a |
completed | April 19, 2026, 1:19 a.m. |
| NEDg | Description generation | batch_69e42f3eaa0c819095e5af20b910d979 |
completed | April 19, 2026, 1:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e43771eaec8190be9bb709723931e0 |
completed | April 19, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.