Triple
T32522112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy of Belgium in Brasília |
E831206
|
entity |
| Predicate | hasBilateralRelationScope |
P40062
|
FINISHED |
| Object | Belgium–Brazil relations |
—
|
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: Belgium–Brazil relations | Statement: [Embassy of Belgium in Brasília, hasBilateralRelationScope, Belgium–Brazil relations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBilateralRelationScope Context triple: [Embassy of Belgium in Brasília, hasBilateralRelationScope, Belgium–Brazil relations]
-
A.
isBilateralMissionBetween
Indicates a mission or undertaking that is jointly conducted between exactly two parties or entities, reflecting a mutual or reciprocal relationship.
-
B.
bilateralRelation
chosen
Indicates a mutual or two-way relationship between two entities, where each affects or interacts with the other.
-
C.
hasBorderRelation
Indicates that one entity shares a boundary or border with another entity.
-
D.
bilateralRole
Indicates a relationship where each of two entities holds a defined role with respect to the other in a mutual or two-sided interaction.
-
E.
hasOppositeLeagueScope
Indicates that two entities are associated with leagues whose scopes are opposite in nature (e.g., one local vs. one global, or one minor vs. one major).
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 1 a.m.