Triple
T9523427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascais |
E229699
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object | Carcavelos e Parede |
E494362
|
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: Carcavelos e Parede | Statement: [Cascais, hasParish, Carcavelos e Parede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carcavelos e Parede Context triple: [Cascais, hasParish, Carcavelos e Parede]
-
A.
Carcavelos
chosen
Carcavelos is a coastal town in the Lisbon metropolitan area of Portugal, known for its popular sandy beach and strong surfing conditions along the Estoril coastline.
-
B.
Torres Novas
Torres Novas is a historic Portuguese city known for its medieval castle and location in the Santarém District of central Portugal.
-
C.
Alcobaça
Alcobaça is a historic Portuguese city best known for its UNESCO-listed Cistercian monastery, one of the country’s most important medieval monuments.
-
D.
Seixas
Seixas is a surname most notably associated with individuals of Portuguese and Sephardic Jewish heritage.
-
E.
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.
- 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_69ca847870a881909d8d751a7d29da39 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9898e0b48190a3e3f0f1616d5055 |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a61fbd08190bb68ffe29da3a34a |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:59 p.m.