Triple
T7369361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pará |
E169954
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Ananindeua
Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
|
E661094
|
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: Ananindeua | Statement: [Pará, hasMajorCity, Ananindeua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ananindeua Context triple: [Pará, hasMajorCity, Ananindeua]
-
A.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
B.
Itabaiana
Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
-
C.
Aquidabã
Aquidabã is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known as the sertão.
-
D.
Rio de Moinhos
Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
-
E.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
- 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: Ananindeua Triple: [Pará, hasMajorCity, Ananindeua]
Generated description
Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ananindeua Target entity description: Ananindeua is a major urban and industrial city in northern Brazil, located in the state of Pará within the Amazon region.
-
A.
Canindé
Canindé is a municipality in the Brazilian state of Ceará known for its major religious pilgrimages honoring Saint Francis of Assisi.
-
B.
Itabaiana
Itabaiana is a prominent inland city in the Brazilian state of Sergipe, known for its vibrant commerce, agricultural production, and strategic location as a regional hub.
-
C.
Aquidabã
Aquidabã is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known as the sertão.
-
D.
Rio de Moinhos
Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
-
E.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1810668819094aec4b237d08068 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d9717c819099122cd64f9268fc |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811765fd0819095d0a3cac19ae7b8 |
completed | March 28, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c811cb77408190acf7cf837837b912 |
completed | March 28, 2026, 5:37 p.m. |
Created at: March 27, 2026, 3:07 p.m.