Triple
T35185643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Brazil |
E1015976
|
entity |
| Predicate | laterColonialCapital |
P14423
|
FINISHED |
| Object | Rio de Janeiro |
—
|
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: Rio de Janeiro | Statement: [History of Brazil, laterColonialCapital, Rio de Janeiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterColonialCapital Context triple: [History of Brazil, laterColonialCapital, Rio de Janeiro]
-
A.
wasColonialCapitalOf
chosen
Indicates that a place served as the administrative capital of a specified colonial territory or power.
-
B.
colonialCapitalFoundedBy
Indicates that a colonial capital city was established or founded by a particular agent, such as a person, group, or governing authority.
-
C.
colonialCapitalFor
Indicates that one location served as the administrative capital for a colony governed by another power.
-
D.
hasColonialCapitalNearby
Indicates that an entity is located close to a city that served as a colonial capital.
-
E.
hasCapitalDuringColonialPeriod
Indicates that a specified location served as the capital of a political entity during its colonial period.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a005be4615c8190a710ab704a46c564 |
completed | May 10, 2026, 10:20 a.m. |
| PD | Predicate disambiguation | batch_6a005b8b1cc08190850a392761b84e74 |
completed | May 10, 2026, 10:18 a.m. |
Created at: May 3, 2026, 4:02 p.m.