Triple
T10303324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Região Serrana (Rio de Janeiro) |
E241686
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Carmo
Carmo is a small municipality in the mountainous interior of Rio de Janeiro state in southeastern Brazil.
|
E854159
|
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: Carmo | Statement: [Região Serrana (Rio de Janeiro), hasCity, Carmo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmo Context triple: [Região Serrana (Rio de Janeiro), hasCity, Carmo]
-
A.
Carmo
Carmo is a historic area in central Lisbon, Portugal, known for its convent ruins, museum, and proximity to the Chiado district.
-
B.
Santa Bárbara d'Oeste
Santa Bárbara d'Oeste is a municipality in the interior of Brazil’s state of São Paulo, known for its industrial activity and historical role in receiving North American Confederate immigrants in the 19th century.
-
C.
Bela Vista
Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
-
D.
Surco
Surco is a populous and upscale district in Lima, Peru, known for its residential areas, shopping centers, and green spaces.
-
E.
Carmel
Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
- 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: Carmo Triple: [Região Serrana (Rio de Janeiro), hasCity, Carmo]
Generated description
Carmo is a small municipality in the mountainous interior of Rio de Janeiro state in southeastern Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carmo Target entity description: Carmo is a small municipality in the mountainous interior of Rio de Janeiro state in southeastern Brazil.
-
A.
Carmo
Carmo is a historic area in central Lisbon, Portugal, known for its convent ruins, museum, and proximity to the Chiado district.
-
B.
Santa Bárbara d'Oeste
Santa Bárbara d'Oeste is a municipality in the interior of Brazil’s state of São Paulo, known for its industrial activity and historical role in receiving North American Confederate immigrants in the 19th century.
-
C.
Bela Vista
Bela Vista is a settlement located on the island and municipality of São Vicente in Cape Verde.
-
D.
Surco
Surco is a populous and upscale district in Lima, Peru, known for its residential areas, shopping centers, and green spaces.
-
E.
Carmel
Carmel is a biblical place name of Hebrew origin, commonly used as a given name and meaning "vineyard" or "garden."
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30846108190875042ab1c0204e0 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d4f6c30819098bcdc77ba1836c3 |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73185266481909e79eddc33469d8d |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d73279922c8190b616e1a61df4d227 |
completed | April 9, 2026, 5 a.m. |
Created at: April 6, 2026, 11:45 a.m.