Triple
T8655914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraná (state) |
E205414
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ilha do Mel
Ilha do Mel is a protected Brazilian Atlantic island in the state of Paraná, renowned for its unspoiled beaches, ecological tourism, and restricted visitor access.
|
E748691
|
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: Ilha do Mel | Statement: [Paraná (state), contains, Ilha do Mel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilha do Mel Context triple: [Paraná (state), contains, Ilha do Mel]
-
A.
Wyspa Słodowa
Wyspa Słodowa is a popular recreational island in the Oder River in Wrocław, Poland, known for its green spaces, cultural events, and views of the historic city center.
-
B.
Ilha da Armona
Ilha da Armona is a small barrier island in Portugal’s Algarve region, known for its sandy beaches, tranquil atmosphere, and access by ferry from the mainland fishing town of Olhão.
-
C.
Black Island
Black Island is an island located within Lake Winnipeg in the Canadian province of Manitoba.
-
D.
Ilha
Ilha is a locality or geographic feature whose name appears within the toponym "Ilha do Zeca" in the Cidade Universitária area.
-
E.
Isla
Isla is a Spanish surname historically associated with figures such as 18th-century naval officer Luis Vicente de Velasco e Isla.
- 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: Ilha do Mel Triple: [Paraná (state), contains, Ilha do Mel]
Generated description
Ilha do Mel is a protected Brazilian Atlantic island in the state of Paraná, renowned for its unspoiled beaches, ecological tourism, and restricted visitor access.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ilha do Mel Target entity description: Ilha do Mel is a protected Brazilian Atlantic island in the state of Paraná, renowned for its unspoiled beaches, ecological tourism, and restricted visitor access.
-
A.
Wyspa Słodowa
Wyspa Słodowa is a popular recreational island in the Oder River in Wrocław, Poland, known for its green spaces, cultural events, and views of the historic city center.
-
B.
Ilha da Armona
Ilha da Armona is a small barrier island in Portugal’s Algarve region, known for its sandy beaches, tranquil atmosphere, and access by ferry from the mainland fishing town of Olhão.
-
C.
Black Island
Black Island is an island located within Lake Winnipeg in the Canadian province of Manitoba.
-
D.
Ilha
Ilha is a locality or geographic feature whose name appears within the toponym "Ilha do Zeca" in the Cidade Universitária area.
-
E.
Isla
Isla is a Spanish surname historically associated with figures such as 18th-century naval officer Luis Vicente de Velasco e Isla.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4844586081909b687e278496eefa |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecce40c248190b4f2b21a1ecde80b |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8c4bdc8190988990c675f50f86 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf3a0e78819082cc7c43eceae309 |
completed | April 2, 2026, 8:19 p.m. |
Created at: March 30, 2026, 6:29 p.m.