Triple
T5106673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cais do Sodré |
E115111
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Cacilhas
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
|
E495293
|
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: Cacilhas | Statement: [Cais do Sodré, connectsTo, Cacilhas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cacilhas Context triple: [Cais do Sodré, connectsTo, Cacilhas]
-
A.
Paderne
Paderne is a historic village in Portugal’s Algarve region, known for its medieval castle and traditional rural character.
-
B.
Pedrógão Grande
Pedrógão Grande is a small municipality in central Portugal known for its forested landscapes and the devastating 2017 wildfires that caused significant loss of life and damage.
-
C.
Gouveia
Gouveia is a municipality and town in central Portugal, situated in the Serra da Estrela mountain range and known for its natural landscapes and wool industry heritage.
-
D.
Góis
Góis is a small municipality in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
E.
Mosteiros
Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
- 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: Cacilhas Triple: [Cais do Sodré, connectsTo, Cacilhas]
Generated description
Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cacilhas Target entity description: Cacilhas is a riverside district in Almada, Portugal, known for its ferry link to Lisbon and its waterfront restaurants and bars.
-
A.
Paderne
Paderne is a historic village in Portugal’s Algarve region, known for its medieval castle and traditional rural character.
-
B.
Pedrógão Grande
Pedrógão Grande is a small municipality in central Portugal known for its forested landscapes and the devastating 2017 wildfires that caused significant loss of life and damage.
-
C.
Gouveia
Gouveia is a municipality and town in central Portugal, situated in the Serra da Estrela mountain range and known for its natural landscapes and wool industry heritage.
-
D.
Góis
Góis is a small municipality in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
-
E.
Mosteiros
Mosteiros is a coastal municipality on the island of Fogo in Cape Verde, known for its volcanic landscapes, coffee production, and black-sand beaches.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a7c6748190b02b7c2b617c830f |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec36fe8dc8190a391547043d28e11 |
completed | March 21, 2026, 4:12 p.m. |
| NEDg | Description generation | batch_69bec506d5b88190bcf6e7cb5f602c2f |
completed | March 21, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bec5ae111c8190914e93dc1680d36e |
completed | March 21, 2026, 4:22 p.m. |
Created at: March 20, 2026, 1:41 p.m.