Triple
T15570169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rua da Sofia (Coimbra) |
E374218
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Baixa de Coimbra
Baixa de Coimbra is the historic downtown district of Coimbra, Portugal, known for its traditional commerce, narrow streets, and architectural heritage.
|
E1164970
|
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: Baixa de Coimbra | Statement: [Rua da Sofia (Coimbra), locatedIn, Baixa de Coimbra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baixa de Coimbra Context triple: [Rua da Sofia (Coimbra), locatedIn, Baixa de Coimbra]
-
A.
Pero da Covilhã
Pero da Covilhã was a 15th-century Portuguese explorer and diplomat known for his overland journeys to India and Ethiopia that helped pave the way for the sea route to India.
-
B.
Eixão
Eixão is a major central highway in Brasília, Brazil, known for its wide, high-speed lanes that run the length of the city’s main axis.
-
C.
Golegã
Golegã is a Portuguese town famed for its equestrian traditions and annual horse fair, located in the Centro Region of Portugal.
-
D.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
E.
Pedrógão
Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
- 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: Baixa de Coimbra Triple: [Rua da Sofia (Coimbra), locatedIn, Baixa de Coimbra]
Generated description
Baixa de Coimbra is the historic downtown district of Coimbra, Portugal, known for its traditional commerce, narrow streets, and architectural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baixa de Coimbra Target entity description: Baixa de Coimbra is the historic downtown district of Coimbra, Portugal, known for its traditional commerce, narrow streets, and architectural heritage.
-
A.
Pero da Covilhã
Pero da Covilhã was a 15th-century Portuguese explorer and diplomat known for his overland journeys to India and Ethiopia that helped pave the way for the sea route to India.
-
B.
Eixão
Eixão is a major central highway in Brasília, Brazil, known for its wide, high-speed lanes that run the length of the city’s main axis.
-
C.
Golegã
Golegã is a Portuguese town famed for its equestrian traditions and annual horse fair, located in the Centro Region of Portugal.
-
D.
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
E.
Pedrógão
Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
- 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_69e04e1de0488190b3639fc25f79d343 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4440a481909699a7eee25a4b24 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4f27c7b08190bbe2d64eef0610f8 |
completed | May 9, 2026, 3:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4fc4223c8190a3dd7a6853258791 |
completed | May 9, 2026, 3:16 p.m. |
Created at: April 10, 2026, 4:10 a.m.