Triple
T30421457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeebo |
E773911
|
entity |
| Predicate | networkProviderBrazil |
P172178
|
FINISHED |
| Object | Vivo |
—
|
NE NERFINISHED |
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: Vivo | Statement: [Zeebo, networkProviderBrazil, Vivo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkProviderBrazil Context triple: [Zeebo, networkProviderBrazil, Vivo]
-
A.
BrazilNeededResult
Indicates that Brazil required or depended on a particular outcome or result to occur or be achieved.
-
B.
statusInBrazil
Indicates the legal, social, or operational status that an entity holds specifically within the context of Brazil.
-
C.
directionFromBrazil
Indicates the relative compass direction of an entity or location as measured outward from Brazil.
-
D.
roleInBrazil
Indicates that an entity holds or held a specific role, position, or function within the context of Brazil.
-
E.
mainAreaInBrazil
Indicates that a given area or region is the primary or most significant area located within Brazil for a specified entity or context.
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a915ead881909463ae46419c343e |
completed | May 3, 2026, 1:47 a.m. |
Created at: April 29, 2026, 8:06 p.m.