Triple
T2221115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy of Brazil in Washington, D.C. |
E48141
|
entity |
| Predicate | isPartOfNetworkOf |
P12340
|
FINISHED |
| Object | Brazilian diplomatic missions |
—
|
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: Brazilian diplomatic missions | Statement: [Embassy of Brazil in Washington, D.C., isPartOfNetworkOf, Brazilian diplomatic missions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfNetworkOf Context triple: [Embassy of Brazil in Washington, D.C., isPartOfNetworkOf, Brazilian diplomatic missions]
-
A.
isPartOfInfrastructure
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
B.
branchNetwork
chosen
Indicates that one entity operates as a branch or local outlet within the wider organizational or operational network of another entity.
-
C.
operatesNetwork
Indicates that an entity manages, controls, or runs the functioning of a network.
-
D.
partOfNetworkExpansion
Indicates that an entity participates in or contributes to the growth or extension of a larger network.
-
E.
hasNetworkPartner
Indicates that an entity is connected to another entity through a formal or recognized network partnership relationship.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0156c8c819083e3e3b6ede1e951 |
completed | March 7, 2026, 6:05 a.m. |
| PD | Predicate disambiguation | batch_69abbdac31d8819092d17815e11921e9 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.