Triple
T13862705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campanhã |
E333236
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Bonfim
Bonfim is a civil parish in the city of Porto, Portugal, known for its mix of historic neighborhoods and residential areas just east of the city center.
|
E1066807
|
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: Bonfim | Statement: [Campanhã, adjacentTo, Bonfim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonfim Context triple: [Campanhã, adjacentTo, Bonfim]
-
A.
Bemposta
Bemposta is a civil parish located within the municipality of Abrantes in central Portugal.
-
B.
Pinheiral
Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
-
C.
São Fidélis
São Fidélis is a municipality in the state of Rio de Janeiro, Brazil, known for its historic architecture and location along the Paraíba do Sul River.
-
D.
Areia Branca
Areia Branca is a municipality in the Brazilian state of Sergipe, known for its rural landscape and location along the Sergipe River.
-
E.
Rolim de Moura
Rolim de Moura is a municipality in the western Brazilian state of Rondônia, known for its agricultural economy and role in regional development within the Amazon frontier.
- 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: Bonfim Triple: [Campanhã, adjacentTo, Bonfim]
Generated description
Bonfim is a civil parish in the city of Porto, Portugal, known for its mix of historic neighborhoods and residential areas just east of the city center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bonfim Target entity description: Bonfim is a civil parish in the city of Porto, Portugal, known for its mix of historic neighborhoods and residential areas just east of the city center.
-
A.
Bemposta
Bemposta is a civil parish located within the municipality of Abrantes in central Portugal.
-
B.
Pinheiral
Pinheiral is a small municipality in the state of Rio de Janeiro, Brazil, known for its rural character and growing role as a regional educational and residential center.
-
C.
São Fidélis
São Fidélis is a municipality in the state of Rio de Janeiro, Brazil, known for its historic architecture and location along the Paraíba do Sul River.
-
D.
Areia Branca
Areia Branca is a municipality in the Brazilian state of Sergipe, known for its rural landscape and location along the Sergipe River.
-
E.
Rolim de Moura
Rolim de Moura is a municipality in the western Brazilian state of Rondônia, known for its agricultural economy and role in regional development within the Amazon frontier.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c20db88190acb842748aa01039 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0ff1f78819088ae58f703e2c9ff |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c33437e8819085b6f79402500ba3 |
completed | May 3, 2026, 9:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3cd3cf0819099cc6cbd04c62e83 |
completed | May 3, 2026, 9:53 p.m. |
Created at: April 9, 2026, 10:14 p.m.