Triple
T22119863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sobral de Monte Agraço |
E546635
|
entity |
| Predicate | belongsTo |
P35
|
FINISHED |
| Object | NUTS 2 Lisboa |
—
|
NE NERFINISHED |
How this triple was built (3 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: NUTS 2 Lisboa | Statement: [Sobral de Monte Agraço, belongsTo, NUTS 2 Lisboa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NUTS 2 Lisboa Context triple: [Sobral de Monte Agraço, belongsTo, NUTS 2 Lisboa]
-
A.
Oeiras
Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
-
B.
Oeiras
Oeiras is a historic city in the Brazilian state of Piauí, known for being the state's first capital and for its well-preserved colonial architecture.
-
C.
Lisbon urban core
Lisbon urban core is the central, densely developed area of Lisbon that concentrates the city’s main residential neighborhoods, business districts, and cultural and historical landmarks.
-
D.
Lisbon–Guimarães
Lisbon–Guimarães is a major intercity rail route in Portugal connecting the capital Lisbon with the historic northern city of Guimarães.
-
E.
Lisboa Entrecampos
Lisboa Entrecampos is a major railway station in Lisbon, Portugal, serving suburban, regional, and long-distance trains and acting as an important transport hub in the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NUTS 2 Lisboa Target entity description: NUTS 2 Lisboa is a statistical region in Portugal that broadly corresponds to the Lisbon metropolitan area and its surroundings, used for European Union regional planning and analysis.
-
A.
Oeiras
Oeiras is a coastal municipality in the Lisbon metropolitan area of Portugal, known for its residential suburbs, business parks, and proximity to the capital.
-
B.
Oeiras
Oeiras is a historic city in the Brazilian state of Piauí, known for being the state's first capital and for its well-preserved colonial architecture.
-
C.
Lisbon urban core
Lisbon urban core is the central, densely developed area of Lisbon that concentrates the city’s main residential neighborhoods, business districts, and cultural and historical landmarks.
-
D.
Lisbon–Guimarães
Lisbon–Guimarães is a major intercity rail route in Portugal connecting the capital Lisbon with the historic northern city of Guimarães.
-
E.
Lisboa Entrecampos
Lisboa Entrecampos is a major railway station in Lisbon, Portugal, serving suburban, regional, and long-distance trains and acting as an important transport hub in the city.
- F. None of above. chosen
Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12950f5348190b204fbc347fd5dab |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.