Triple
T3182842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faial Island |
E66630
|
entity |
| Predicate | hasParish |
P35
|
FINISHED |
| Object |
Conceição
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
|
E333606
|
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: Conceição | Statement: [Faial Island, hasParish, Conceição]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conceição Context triple: [Faial Island, hasParish, Conceição]
-
A.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
-
B.
Rio Claro
Rio Claro is a municipality in the interior of Brazil’s state of São Paulo, known for its industrial activity and regional educational institutions.
-
C.
Alcântara
Alcântara is a historic coastal municipality in the Brazilian state of Maranhão, known for its preserved colonial architecture and proximity to the Alcântara Launch Center.
-
D.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
E.
Itatiba
Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
- 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: Conceição Triple: [Faial Island, hasParish, Conceição]
Generated description
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conceição Target entity description: Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
A.
Corumbá
Corumbá is a Brazilian city in the state of Mato Grosso do Sul, known as a key gateway to the Pantanal wetlands and an important regional center for river trade and ecotourism.
-
B.
Rio Claro
Rio Claro is a municipality in the interior of Brazil’s state of São Paulo, known for its industrial activity and regional educational institutions.
-
C.
Alcântara
Alcântara is a historic coastal municipality in the Brazilian state of Maranhão, known for its preserved colonial architecture and proximity to the Alcântara Launch Center.
-
D.
Mauá
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
E.
Itatiba
Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
- 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_69b2360079e4819085ee8b6553e3da02 |
completed | March 12, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69b2372b4e888190b75235355b05a0ee |
completed | March 12, 2026, 3:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b237927cf08190a21396a523f70dc9 |
completed | March 12, 2026, 3:48 a.m. |
Created at: March 8, 2026, 3:06 p.m.