Triple
T15567775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anadia |
E374159
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Avelãs de Cima
Avelãs de Cima is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District.
|
E1166609
|
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: Avelãs de Cima | Statement: [Anadia, hasParish, Avelãs de Cima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avelãs de Cima Context triple: [Anadia, hasParish, Avelãs de Cima]
-
A.
Avelãs de Caminho
Avelãs de Caminho is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District.
-
B.
Cravinhos
Cravinhos is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the regional hub of Ribeirão Preto.
-
C.
Trincadeira
Trincadeira is a Portuguese red wine grape variety known for producing deeply colored, aromatic wines with spicy, herbal, and red-fruit characteristics, particularly in regions like the Dão and Alentejo.
-
D.
Gafanha da Boa Hora
Gafanha da Boa Hora is a civil parish in the municipality of Vagos, located in the Aveiro District of Portugal.
-
E.
Cidade Alta
Cidade Alta is the historic upper district of Salvador, Brazil, known for its colonial architecture, government buildings, and panoramic views of the bay.
- 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: Avelãs de Cima Triple: [Anadia, hasParish, Avelãs de Cima]
Generated description
Avelãs de Cima is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avelãs de Cima Target entity description: Avelãs de Cima is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District.
-
A.
Avelãs de Caminho
Avelãs de Caminho is a civil parish in the municipality of Anadia, located in Portugal’s Aveiro District.
-
B.
Cravinhos
Cravinhos is a municipality in the state of São Paulo, Brazil, known for its agricultural activities and proximity to the regional hub of Ribeirão Preto.
-
C.
Trincadeira
Trincadeira is a Portuguese red wine grape variety known for producing deeply colored, aromatic wines with spicy, herbal, and red-fruit characteristics, particularly in regions like the Dão and Alentejo.
-
D.
Gafanha da Boa Hora
Gafanha da Boa Hora is a civil parish in the municipality of Vagos, located in the Aveiro District of Portugal.
-
E.
Cidade Alta
Cidade Alta is the historic upper district of Salvador, Brazil, known for its colonial architecture, government buildings, and panoramic views of the bay.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58334f688190907e331755156c8a |
completed | May 9, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff588814808190a7e593a5ae80f816 |
completed | May 9, 2026, 3:53 p.m. |
Created at: April 10, 2026, 4:10 a.m.