Triple
T9498908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferreiras parish |
E229083
|
entity |
| Predicate | belongsToNUTS2Region |
P9956
|
FINISHED |
| Object | Algarve |
E6079
|
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: Algarve | Statement: [Ferreiras parish, belongsToNUTS2Region, Algarve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Algarve Context triple: [Ferreiras parish, belongsToNUTS2Region, Algarve]
-
A.
Algarve
chosen
Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
-
B.
Portuguese Riviera
The Portuguese Riviera is a glamorous coastal region west of Lisbon known for its historic seaside resorts, casinos, beaches, and affluent lifestyle.
-
C.
southern Portugal
Southern Portugal is the warm, largely rural and coastal region of Portugal that includes the Algarve and Alentejo, known for its beaches, historic towns, and Mediterranean climate.
-
D.
southwestern Portugal
Southwestern Portugal is a coastal region of Portugal known for its rugged Atlantic shoreline, scenic beaches, and relatively unspoiled natural landscapes.
-
E.
Alentejo
Alentejo is a large, sparsely populated region in southern Portugal known for its rolling plains, cork oak forests, vineyards, and historic whitewashed towns.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983a94c48190a7ddf95a953c4ecc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af2542c48190b481dcd08187dabd |
completed | April 5, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:56 p.m.