Triple
T13909809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centro Region of Portugal |
E334459
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Nazaré |
E374148
|
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: Nazaré | Statement: [Centro Region of Portugal, containsCity, Nazaré]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazaré Context triple: [Centro Region of Portugal, containsCity, Nazaré]
-
A.
Nazaré
chosen
Nazaré is a Portuguese coastal town famous for its massive Atlantic waves and big-wave surfing.
-
B.
Cascais Bay
Cascais Bay is a scenic coastal inlet on Portugal’s Atlantic coast, known for its sandy beaches, marina, and role as a popular seaside destination near Lisbon.
-
C.
Ria de Aveiro
Ria de Aveiro is a coastal lagoon in central Portugal known for its canals, salt pans, and rich wetland biodiversity.
-
D.
Costa da Caparica
Costa da Caparica is a coastal town and popular beach destination just south of Lisbon, Portugal, known for its long sandy shoreline and Atlantic surf.
-
E.
Sertã
Sertã is a municipality and town in central Portugal known for its forested landscapes, river beaches, and traditional cuisine.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2721ec6c8190888f4a9d004eb8e0 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c726b7388190b557f4c41622460d |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.