Triple
T8457826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisbon Coast |
E199963
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cascais |
E229699
|
NE FINISHED |
How this triple was built (2 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: Cascais | Statement: [Lisbon Coast, contains, Cascais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cascais Context triple: [Lisbon Coast, contains, Cascais]
-
A.
Aveiro
Aveiro is a coastal city in central Portugal known for its picturesque canals, colorful moliceiro boats, and distinctive Art Nouveau architecture.
-
B.
Cascais, Portugal
chosen
Cascais, Portugal is a coastal resort town near Lisbon known for its beaches, marina, and historic role as a refuge for European royalty in the 20th century.
-
C.
Caldas da Rainha
Caldas da Rainha is a historic spa and market city in western Portugal, renowned for its thermal baths, ceramics tradition, and proximity to the Atlantic coast.
-
D.
Santiago do Cacém
Santiago do Cacém is a historic municipality in Portugal’s Alentejo region, known for its medieval castle, Roman ruins at Miróbriga, and rural landscapes.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49064f881909391d565b97e9886 |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39caf4bc8190a1850b2124684a2a |
completed | April 2, 2026, 9:41 a.m. |
Created at: March 30, 2026, 6:10 p.m.