Triple
T19403450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Domingos |
E485386
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Várzea da Igreja
Várzea da Igreja is a small settlement located in the municipality of São Domingos.
|
E1374583
|
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: Várzea da Igreja | Statement: [São Domingos, hasSettlement, Várzea da Igreja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Várzea da Igreja Context triple: [São Domingos, hasSettlement, Várzea da Igreja]
-
A.
Várzea Paulista
Várzea Paulista is a municipality in southeastern Brazil known for its integration into the industrial and services corridor of the São Paulo metropolitan region.
-
B.
Ribeirão das Lajes
Ribeirão das Lajes is a river in the state of Rio de Janeiro, Brazil, known as an important watercourse within the Guandu River basin.
-
C.
Sapucaia
Sapucaia is a municipality located in the mountainous Região Serrana of the state of Rio de Janeiro, Brazil.
-
D.
Ribeira Prata
Ribeira Prata is a small settlement on the island of São Nicolau in Cape Verde, located within the municipality of Tarrafal de São Nicolau.
-
E.
Ribeirinha
Ribeirinha is a civil parish located on Faial Island in the Azores archipelago of Portugal.
- 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: Várzea da Igreja Triple: [São Domingos, hasSettlement, Várzea da Igreja]
Generated description
Várzea da Igreja is a small settlement located in the municipality of São Domingos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Várzea da Igreja Target entity description: Várzea da Igreja is a small settlement located in the municipality of São Domingos.
-
A.
Várzea Paulista
Várzea Paulista is a municipality in southeastern Brazil known for its integration into the industrial and services corridor of the São Paulo metropolitan region.
-
B.
Ribeirão das Lajes
Ribeirão das Lajes is a river in the state of Rio de Janeiro, Brazil, known as an important watercourse within the Guandu River basin.
-
C.
Sapucaia
Sapucaia is a municipality located in the mountainous Região Serrana of the state of Rio de Janeiro, Brazil.
-
D.
Ribeira Prata
Ribeira Prata is a small settlement on the island of São Nicolau in Cape Verde, located within the municipality of Tarrafal de São Nicolau.
-
E.
Ribeirinha
Ribeirinha is a civil parish located on Faial Island in the Azores archipelago of Portugal.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257937d081909dbc5804d2505938 |
completed | April 20, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b935cc4819097e1e818c86b454e |
completed | May 15, 2026, 2:20 p.m. |
| NEDg | Description generation | batch_6a072d8a5e108190916cd22496c048cb |
completed | May 15, 2026, 2:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072e3709e881909d70f130a77fc428 |
completed | May 15, 2026, 2:31 p.m. |
Created at: April 10, 2026, 1:36 p.m.