Triple
T8604411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidigueira |
E203761
|
entity |
| Predicate | hasCivilParish |
P2739
|
FINISHED |
| Object |
Pedrógão
Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
|
E744952
|
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: Pedrógão | Statement: [Vidigueira, hasCivilParish, Pedrógão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pedrógão Context triple: [Vidigueira, hasCivilParish, Pedrógão]
-
A.
Melgaço
Melgaço is a historic town and municipality in Portugal’s far north, known for its scenic Minho River landscapes, Alvarinho wine, and well-preserved medieval castle.
-
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.
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.
-
E.
Bulcão
Bulcão is a Portuguese-language surname most notably associated with Brazilian artist Athos Bulcão, renowned for his geometric tile murals and public artworks.
- 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: Pedrógão Triple: [Vidigueira, hasCivilParish, Pedrógão]
Generated description
Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pedrógão Target entity description: Pedrógão is a civil parish located within the municipality of Vidigueira in Portugal’s Alentejo region.
-
A.
Melgaço
Melgaço is a historic town and municipality in Portugal’s far north, known for its scenic Minho River landscapes, Alvarinho wine, and well-preserved medieval castle.
-
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.
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.
-
E.
Bulcão
Bulcão is a Portuguese-language surname most notably associated with Brazilian artist Athos Bulcão, renowned for his geometric tile murals and public artworks.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46dd8ff8819081ef269192047488 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8f8dfa4819080c8ed475a84be41 |
completed | April 2, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69cea9d0dad0819095134f6f8cafb4c0 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa7025388190a3f17aca46d4858e |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:24 p.m.