Triple
T16361379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freixo de Espada à Cinta |
E397318
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Lagoaça e Fornos
Lagoaça e Fornos is a civil parish in the municipality of Freixo de Espada à Cinta, located in the Bragança District of northeastern Portugal.
|
E1208104
|
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: Lagoaça e Fornos | Statement: [Freixo de Espada à Cinta, hasParish, Lagoaça e Fornos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagoaça e Fornos Context triple: [Freixo de Espada à Cinta, hasParish, Lagoaça e Fornos]
-
A.
Painho e Figueiros
Painho e Figueiros is a civil parish in the municipality of Cadaval, in Portugal’s Lisbon District.
-
B.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
C.
Pedreira
Pedreira is a municipality in the state of São Paulo, Brazil, known for its ceramics industry and decorative household goods.
-
D.
Celorico de Basto
Celorico de Basto is a municipality in northern Portugal known for its scenic landscapes, vineyards, and historic heritage within the Minho region.
-
E.
Cabaceiras
Cabaceiras is a historic town in the Brazilian state of Paraíba, known for its well-preserved colonial architecture and frequent use as a filming location for movies and television.
- 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: Lagoaça e Fornos Triple: [Freixo de Espada à Cinta, hasParish, Lagoaça e Fornos]
Generated description
Lagoaça e Fornos is a civil parish in the municipality of Freixo de Espada à Cinta, located in the Bragança District of northeastern Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lagoaça e Fornos Target entity description: Lagoaça e Fornos is a civil parish in the municipality of Freixo de Espada à Cinta, located in the Bragança District of northeastern Portugal.
-
A.
Painho e Figueiros
Painho e Figueiros is a civil parish in the municipality of Cadaval, in Portugal’s Lisbon District.
-
B.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
C.
Pedreira
Pedreira is a municipality in the state of São Paulo, Brazil, known for its ceramics industry and decorative household goods.
-
D.
Celorico de Basto
Celorico de Basto is a municipality in northern Portugal known for its scenic landscapes, vineyards, and historic heritage within the Minho region.
-
E.
Cabaceiras
Cabaceiras is a historic town in the Brazilian state of Paraíba, known for its well-preserved colonial architecture and frequent use as a filming location for movies and television.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad304448190b3f6f0350a1e151d |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbeabe081909e3d02676293e8b2 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002ed2ddf0819083be2dd80810ac78 |
completed | May 10, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002f8fdefc8190bf893c7dc22c9f0b |
completed | May 10, 2026, 7:11 a.m. |
Created at: April 10, 2026, 5:08 a.m.