Triple
T21045195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belén neighborhood |
E518429
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Amazon River |
E16895
|
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: Amazon River | Statement: [Belén neighborhood, locatedOnRiver, Amazon River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon River Context triple: [Belén neighborhood, locatedOnRiver, Amazon River]
-
A.
Amazon River
chosen
The Amazon River is one of the world's longest and largest rivers by discharge, flowing across northern South America through the Amazon rainforest and into the Atlantic Ocean.
-
B.
Amazonas
Amazonas is a vast state in northwestern Brazil, largely covered by the Amazon rainforest and known for its immense biodiversity and the city of Manaus.
-
C.
Amazonas
Amazonas is a vast, sparsely populated department in southern Colombia known for its dense Amazon rainforest, rich biodiversity, and access to the Amazon River.
-
D.
Amazonas
Amazonas is a vast, sparsely populated state in southern Venezuela known for its dense Amazon rainforest, indigenous communities, and rich biodiversity.
-
E.
Rio Negro
Rio Negro is a major blackwater river in South America that flows through Colombia, Venezuela, and Brazil before joining the Amazon River.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf3cac081909915a440fbb5c084 |
completed | April 21, 2026, 4:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09475512b081908ceb38a118b0f026 |
completed | May 17, 2026, 4:43 a.m. |
Created at: April 16, 2026, 2:30 p.m.