Triple
T9965126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ameixial |
E195663
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | inland 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: inland Algarve | Statement: [Ameixial, locatedIn, inland Algarve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: inland Algarve Context triple: [Ameixial, locatedIn, inland Algarve]
-
A.
Eastern Algarve
Eastern Algarve is the less-developed, quieter eastern stretch of Portugal’s Algarve coast, known for its traditional towns, lagoons, and unspoiled beaches near the Spanish border.
-
B.
Algarve west coast
The Algarve west coast is a rugged, less-developed stretch of Portugal’s southern shoreline known for its dramatic cliffs, powerful Atlantic surf, and unspoiled beaches.
-
C.
Alentejo Litoral
Alentejo Litoral is a coastal subregion of Portugal’s Alentejo known for its Atlantic beaches, rural landscapes, and traditional agriculture.
-
D.
Algarve
chosen
Algarve is a popular coastal region in southern Portugal known for its beaches, cliffs, and resort towns.
-
E.
Alto Alentejo
Alto Alentejo is a subregion in northern Alentejo, Portugal, known for its historic towns, rural landscapes, and traditional agriculture.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71c38488190a6f3cda11994f6a2 |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23da2d7988190b8603ddb151996d9 |
completed | April 5, 2026, 10:46 a.m. |
Created at: March 30, 2026, 8:47 p.m.