Triple
T13946621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Almería |
E335400
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object |
Aguadulce
Aguadulce is a coastal town in the province of Almería in southeastern Spain, known for its beaches, marina, and tourism-oriented seafront.
|
E1070546
|
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: Aguadulce | Statement: [Gulf of Almería, hasNearbyTown, Aguadulce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aguadulce Context triple: [Gulf of Almería, hasNearbyTown, Aguadulce]
-
A.
Aguadulce
Aguadulce is a city in central Panama known as an agricultural and commercial hub, particularly for sugar and salt production.
-
B.
Aguada
Aguada is a coastal municipality on Puerto Rico’s west coast known for its beaches and role as a regional commercial and transportation hub.
-
C.
Oroquieta
Oroquieta is a coastal city in the Philippines that serves as the capital of Misamis Occidental province on the island of Mindanao.
-
D.
Aguas Verdes
Aguas Verdes is a Peruvian border town known as a busy commercial crossing point between Peru and Ecuador near the city of Tumbes.
-
E.
Palo Seco
Palo Seco is a coastal barrio of the municipality of Toa Baja in Puerto Rico, known for its small residential community and proximity to San Juan Bay.
- 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: Aguadulce Triple: [Gulf of Almería, hasNearbyTown, Aguadulce]
Generated description
Aguadulce is a coastal town in the province of Almería in southeastern Spain, known for its beaches, marina, and tourism-oriented seafront.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aguadulce Target entity description: Aguadulce is a coastal town in the province of Almería in southeastern Spain, known for its beaches, marina, and tourism-oriented seafront.
-
A.
Aguadulce
Aguadulce is a city in central Panama known as an agricultural and commercial hub, particularly for sugar and salt production.
-
B.
Aguada
Aguada is a coastal municipality on Puerto Rico’s west coast known for its beaches and role as a regional commercial and transportation hub.
-
C.
Oroquieta
Oroquieta is a coastal city in the Philippines that serves as the capital of Misamis Occidental province on the island of Mindanao.
-
D.
Aguas Verdes
Aguas Verdes is a Peruvian border town known as a busy commercial crossing point between Peru and Ecuador near the city of Tumbes.
-
E.
Palo Seco
Palo Seco is a coastal barrio of the municipality of Toa Baja in Puerto Rico, known for its small residential community and proximity to San Juan Bay.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e10f60c81908ee9636e85c070ff |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce903c5c8190b72d83a5b842ad70 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb14bfa2c081908381bb74f040c6c8 |
completed | May 6, 2026, 10:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.