Triple
T37963078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital Nacional do Calçado |
E947057
|
entity |
| Predicate | relacionadoA |
P37
|
FINISHED |
| Object | história da imigração alemã em Novo Hamburgo |
—
|
LITERAL FINISHED |
How this triple was built (2 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: história da imigração alemã em Novo Hamburgo | Statement: [Capital Nacional do Calçado, relacionadoA, história da imigração alemã em Novo Hamburgo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relacionadoA Context triple: [Capital Nacional do Calçado, relacionadoA, história da imigração alemã em Novo Hamburgo]
-
A.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
C.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
D.
relatedToTerm
Indicates a general, non-specific relationship or association between one term and another.
-
E.
relatedIntermediate
Indicates an indirect or intermediate relationship between two entities, typically via one or more other entities or steps rather than a direct connection.
- F. None of above.
Provenance (3 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.