Triple
T8795017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Companhia Caminho Aéreo Pão de Açúcar |
E209267
|
entity |
| Predicate | hasSecondaryCustomerType |
P85428
|
FINISHED |
| Object | local visitors |
—
|
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: local visitors | Statement: [Companhia Caminho Aéreo Pão de Açúcar, hasSecondaryCustomerType, local visitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryCustomerType Context triple: [Companhia Caminho Aéreo Pão de Açúcar, hasSecondaryCustomerType, local visitors]
-
A.
secondaryCustomer
Indicates a relationship where one customer is designated as an additional or subordinate customer associated with a primary customer in a given context.
-
B.
hasSecondaryUsage
Indicates that an entity is associated with an additional, non-primary function or purpose beyond its main intended use.
-
C.
hasSecondarySubject
Indicates that an entity is associated with an additional, non-primary subject in a given context or relationship.
-
D.
hasSecondaryBase
Indicates that an entity possesses or is associated with a secondary or additional base, distinct from its primary base.
-
E.
hasSubOrganizationType
Indicates that an organization is associated with or classified under a specific type or category of sub-organization.
- F. None of above. chosen
Provenance (4 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa0c6008190a5c4d87510ad5bbd |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:43 p.m.