Triple
T3182852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faial Island |
E66630
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Capelo
Capelo is a civil parish on Faial Island in the Azores, Portugal, known for its volcanic landscapes and coastal scenery.
|
E335305
|
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: Capelo | Statement: [Faial Island, hasParish, Capelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capelo Context triple: [Faial Island, hasParish, Capelo]
-
A.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
B.
Adalberto
Adalberto is a masculine given name of Germanic origin, commonly used in Romance-language countries as a variant of Albert or Alberto.
-
C.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
-
D.
Gustavo
Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
-
E.
Tab Ramos
Tab Ramos is a former American soccer midfielder and influential figure in U.S. soccer history, known for his playmaking skills, World Cup appearances, and later work as a coach and youth development leader.
- 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: Capelo Triple: [Faial Island, hasParish, Capelo]
Generated description
Capelo is a civil parish on Faial Island in the Azores, Portugal, known for its volcanic landscapes and coastal scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Capelo Target entity description: Capelo is a civil parish on Faial Island in the Azores, Portugal, known for its volcanic landscapes and coastal scenery.
-
A.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
B.
Adalberto
Adalberto is a masculine given name of Germanic origin, commonly used in Romance-language countries as a variant of Albert or Alberto.
-
C.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
-
D.
Gustavo
Gustavo is a masculine given name commonly used in Spanish- and Portuguese-speaking countries, equivalent to the name Gustaf.
-
E.
Tab Ramos
Tab Ramos is a former American soccer midfielder and influential figure in U.S. soccer history, known for his playmaking skills, World Cup appearances, and later work as a coach and youth development leader.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bea1788190bbce7cb52f8e72e8 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b777fe881909764e2f2cdb68479 |
completed | March 12, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69b24d13ef908190b7b54d653e4d1ea4 |
completed | March 12, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24db9af3881909d3d89ad985356c6 |
completed | March 12, 2026, 5:23 a.m. |
Created at: March 8, 2026, 3:06 p.m.