Triple
T11831294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vale do Taquari |
E281397
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Fazenda Vilanova
Fazenda Vilanova is a small municipality located in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
|
E950094
|
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: Fazenda Vilanova | Statement: [Vale do Taquari, hasCity, Fazenda Vilanova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fazenda Vilanova Context triple: [Vale do Taquari, hasCity, Fazenda Vilanova]
-
A.
Fazenda
Fazenda is a Portuguese and Spanish surname most notably associated with American silent film comedian Louise Fazenda.
-
B.
Vale dos Vinhedos
Vale dos Vinhedos is a renowned Brazilian wine-producing valley in Rio Grande do Sul, celebrated for its vineyards, wineries, and strong Italian immigrant heritage.
-
C.
Engenho do Meio
Engenho do Meio is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
D.
Vila Flor
Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
-
E.
Vila Viçosa
Vila Viçosa is a historic town in Portugal renowned for its marble quarries and as a former residence of the Portuguese royal family.
- 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: Fazenda Vilanova Triple: [Vale do Taquari, hasCity, Fazenda Vilanova]
Generated description
Fazenda Vilanova 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: Fazenda Vilanova Target entity description: Fazenda Vilanova is a small municipality located in the Vale do Taquari region of the state of Rio Grande do Sul in southern Brazil.
-
A.
Fazenda
Fazenda is a Portuguese and Spanish surname most notably associated with American silent film comedian Louise Fazenda.
-
B.
Vale dos Vinhedos
Vale dos Vinhedos is a renowned Brazilian wine-producing valley in Rio Grande do Sul, celebrated for its vineyards, wineries, and strong Italian immigrant heritage.
-
C.
Engenho do Meio
Engenho do Meio is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
D.
Vila Flor
Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
-
E.
Vila Viçosa
Vila Viçosa is a historic town in Portugal renowned for its marble quarries and as a former residence of the Portuguese royal family.
- 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.