Triple
T19086110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesoregion of Lower Amazon |
E467152
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Prainha
Prainha is a riverside municipality in the state of Pará in northern Brazil, situated within the Amazon region and characterized by its vast rainforest and river-based communities.
|
E1357145
|
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: Prainha | Statement: [Mesoregion of Lower Amazon, containsMunicipality, Prainha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prainha Context triple: [Mesoregion of Lower Amazon, containsMunicipality, Prainha]
-
A.
Tamarineira
Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
-
B.
Baianão
Baianão is the popular nickname for the Campeonato Baiano, the top professional football championship in the Brazilian state of Bahia.
-
C.
Putijarra
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
-
D.
Putinga
Putinga is a small municipality in the Vale do Taquari region of Rio Grande do Sul, Brazil, known for its rural landscape and agricultural activities.
-
E.
Paranhos
Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
- 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: Prainha Triple: [Mesoregion of Lower Amazon, containsMunicipality, Prainha]
Generated description
Prainha is a riverside municipality in the state of Pará in northern Brazil, situated within the Amazon region and characterized by its vast rainforest and river-based communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prainha Target entity description: Prainha is a riverside municipality in the state of Pará in northern Brazil, situated within the Amazon region and characterized by its vast rainforest and river-based communities.
-
A.
Tamarineira
Tamarineira is a neighborhood in the Brazilian city of Recife, known for its residential areas and local commerce.
-
B.
Baianão
Baianão is the popular nickname for the Campeonato Baiano, the top professional football championship in the Brazilian state of Bahia.
-
C.
Putijarra
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
-
D.
Putinga
Putinga is a small municipality in the Vale do Taquari region of Rio Grande do Sul, Brazil, known for its rural landscape and agricultural activities.
-
E.
Paranhos
Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e347ee288190a3e935ff89ca94aa |
completed | April 20, 2026, 8:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d368740c81909ec738532cd670bf |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d4ff70d0819089a00de0404768a4 |
completed | May 14, 2026, 1:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d58227188190928741f15b685cb0 |
completed | May 14, 2026, 2 p.m. |
Created at: April 10, 2026, 12:04 p.m.