Triple
T9672909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belém do Pará |
E234072
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Amazon region |
E664479
|
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 region | Statement: [Belém do Pará, partOf, Amazon region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon region Context triple: [Belém do Pará, partOf, Amazon region]
-
A.
Amazon region
chosen
The Amazon region is a vast tropical rainforest and river basin in South America, renowned for its unparalleled biodiversity and critical role in regulating the global climate.
-
B.
Region A
Region A is an administrative region within the City of Johannesburg Metropolitan Municipality in South Africa, encompassing several northern and northwestern suburbs and semi-rural areas.
-
C.
Northern Region
Northern Region is one of Ghana’s largest administrative regions, known for its savannah landscapes, agriculture-based economy, and cultural diversity.
-
D.
EC2 postal district
The EC2 postal district is a central London area covering part of the City’s financial core, including major banking and commercial streets.
-
E.
North Region
North Region is a large, predominantly rural administrative region in northern Cameroon known for its savanna landscapes, diverse ethnic groups, and agriculture-based economy.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6aa01c819083fc758470096ec2 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a28d1c481908737992466d35fdd |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.