Triple
T295314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Algarve |
E6079
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sagres
Sagres is a small coastal town at the southwestern tip of Portugal, known for its dramatic cliffs, surfing beaches, and historic role in the Age of Discoveries.
|
E39987
|
NE FINISHED |
How this triple was built (4 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: Sagres | Statement: [Algarve, contains, Sagres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagres Context triple: [Algarve, contains, Sagres]
-
A.
Silves
Silves is a historic town in southern Portugal known for its well-preserved Moorish castle and former status as the medieval capital of the Algarve region.
-
B.
Tavira
Tavira is a historic coastal town in Portugal’s Algarve region, known for its picturesque old town, Roman bridge, and nearby island beaches.
-
C.
Portimão
Portimão is a coastal city and popular tourist destination in southern Portugal, known for its beaches, marina, and vibrant waterfront along the Arade River.
-
D.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
E.
Albufeira
Albufeira is a popular coastal resort city in Portugal’s Algarve region, known for its beaches, nightlife, and tourism.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sagres Triple: [Algarve, contains, Sagres]
Generated description
Sagres is a small coastal town at the southwestern tip of Portugal, known for its dramatic cliffs, surfing beaches, and historic role in the Age of Discoveries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sagres Target entity description: Sagres is a small coastal town at the southwestern tip of Portugal, known for its dramatic cliffs, surfing beaches, and historic role in the Age of Discoveries.
-
A.
Silves
Silves is a historic town in southern Portugal known for its well-preserved Moorish castle and former status as the medieval capital of the Algarve region.
-
B.
Tavira
Tavira is a historic coastal town in Portugal’s Algarve region, known for its picturesque old town, Roman bridge, and nearby island beaches.
-
C.
Portimão
Portimão is a coastal city and popular tourist destination in southern Portugal, known for its beaches, marina, and vibrant waterfront along the Arade River.
-
D.
Sabrosa
Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
-
E.
Albufeira
Albufeira is a popular coastal resort city in Portugal’s Algarve region, known for its beaches, nightlife, and tourism.
- F. None of above. chosen
Provenance (5 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e979663481908cf9622e59fed041 |
completed | Feb. 28, 2026, 1:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3bc215b5481909963d13a5f8eb707 |
completed | March 1, 2026, 4:10 a.m. |
| NEDg | Description generation | batch_69a3bca6cffc8190b004c8c3a47b0622 |
completed | March 1, 2026, 4:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3bcf4ac108190a7d07c67e0c4dfc7 |
completed | March 1, 2026, 4:13 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.