Triple
T11831297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale do Taquari |
E281397
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Relvado
Relvado is a small municipality located in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
|
E950096
|
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: Relvado | Statement: [Vale do Taquari, hasCity, Relvado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Relvado Context triple: [Vale do Taquari, hasCity, Relvado]
-
A.
Bérrio
Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
-
B.
Coruripe
Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
-
C.
Raposeira
Raposeira is a small village in Portugal’s Algarve region, known for its rural charm and proximity to the Atlantic coast near Vila do Bispo.
-
D.
Bicesse
Bicesse is a town in Angola known primarily as the site where the Bicesse Accords peace agreement was signed.
-
E.
Roa
Roa is a historic town in the province of Burgos, Spain, known for its medieval heritage and location in the Ribera del Duero wine region.
- 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: Relvado Triple: [Vale do Taquari, hasCity, Relvado]
Generated description
Relvado is a small municipality located in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Relvado Target entity description: Relvado is a small municipality located in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
-
A.
Bérrio
Bérrio was a Portuguese carrack that served as one of the ships in Vasco da Gama’s pioneering fleet on the first voyage from Portugal to India.
-
B.
Coruripe
Coruripe is a coastal municipality in northeastern Brazil known for its beaches, fishing activities, and sugarcane agriculture.
-
C.
Raposeira
Raposeira is a small village in Portugal’s Algarve region, known for its rural charm and proximity to the Atlantic coast near Vila do Bispo.
-
D.
Bicesse
Bicesse is a town in Angola known primarily as the site where the Bicesse Accords peace agreement was signed.
-
E.
Roa
Roa is a historic town in the province of Burgos, Spain, known for its medieval heritage and location in the Ribera del Duero wine region.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a62c95988190a45dbaa7001c8846 |
completed | April 10, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16741d9a08190b6d6d5e59dfa41b8 |
completed | April 29, 2026, 2:04 a.m. |
| NEDg | Description generation | batch_69f170034b488190a6976d3333823caa |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17805325881908b98eb9c8fc59778 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.