Triple
T9732070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aveiro |
E235768
|
entity |
| Predicate | hasNearbyBeach |
P1922
|
FINISHED |
| Object |
Costa Nova
Costa Nova is a picturesque seaside village in Portugal famed for its colorful striped houses and sandy Atlantic beach near Aveiro.
|
E816320
|
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: Costa Nova | Statement: [Aveiro, hasNearbyBeach, Costa Nova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costa Nova Context triple: [Aveiro, hasNearbyBeach, Costa Nova]
-
A.
Costa
Costa is a Chilean wine-producing subregion within the Cachapoal Valley, known for its coastal influence that shapes the style and character of its wines.
-
B.
Costa
Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
-
C.
Costa Alegre
Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
-
D.
Costa Calma
Costa Calma is a popular seaside resort town on the south coast of Fuerteventura in Spain’s Canary Islands, known for its long sandy beaches and windsurfing conditions.
-
E.
La Costeña
La Costeña is a Nicaraguan regional airline that operates domestic flights connecting Managua with various destinations across the country.
- 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: Costa Nova Triple: [Aveiro, hasNearbyBeach, Costa Nova]
Generated description
Costa Nova is a picturesque seaside village in Portugal famed for its colorful striped houses and sandy Atlantic beach near Aveiro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Costa Nova Target entity description: Costa Nova is a picturesque seaside village in Portugal famed for its colorful striped houses and sandy Atlantic beach near Aveiro.
-
A.
Costa
Costa is a Chilean wine-producing subregion within the Cachapoal Valley, known for its coastal influence that shapes the style and character of its wines.
-
B.
Costa
Costa is a common Portuguese surname borne by numerous notable figures in politics, sports, and the arts.
-
C.
Costa Alegre
Costa Alegre is a scenic stretch of Mexico’s Pacific coastline in Jalisco known for its secluded beaches, luxury resorts, and unspoiled natural beauty.
-
D.
Costa Calma
Costa Calma is a popular seaside resort town on the south coast of Fuerteventura in Spain’s Canary Islands, known for its long sandy beaches and windsurfing conditions.
-
E.
La Costeña
La Costeña is a Nicaraguan regional airline that operates domestic flights connecting Managua with various destinations across the country.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb3d6e4819090b3c7fb92550c57 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fbbba2081909a15725a68423162 |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a065ce008190985b792302daa7cb |
completed | April 4, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0f811fc8190b6a46a0441159089 |
completed | April 4, 2026, 11:38 p.m. |
Created at: March 30, 2026, 8:22 p.m.