Triple
T9510087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Portugal |
E229368
|
entity |
| Predicate | colonizedTerritory |
P14189
|
FINISHED |
| Object | Brazil |
E19289
|
NE FINISHED |
How this triple was built (3 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: Brazil | Statement: [Kingdom of Portugal, colonizedTerritory, Brazil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brazil Context triple: [Kingdom of Portugal, colonizedTerritory, Brazil]
-
A.
Brazil
chosen
Brazil is the largest country in South America, known for its vast Amazon rainforest, diverse culture, and major cities like São Paulo and Rio de Janeiro.
-
B.
Brazil
Brazil is a 1985 dystopian science fiction film known for its darkly satirical portrayal of a bureaucratic, totalitarian society and its distinctive, surreal visual style.
-
C.
Brasyl
Brasyl is a science fiction novel by Ian McDonald that intertwines multiple timelines in Brazil to explore themes of quantum reality, culture, and globalization.
-
D.
Portela
Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
-
E.
Republic of the United States of Brazil
The Republic of the United States of Brazil was the federal republican regime that succeeded the Brazilian monarchy in 1889 and governed Brazil through much of the 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonizedTerritory Context triple: [Kingdom of Portugal, colonizedTerritory, Brazil]
-
A.
wasCoreTerritoryOf
Indicates that a region historically formed the central or most important territorial area belonging to a particular political or cultural entity.
-
B.
annexedTerritory
Indicates that one political entity has formally incorporated another territory into its own sovereign domain.
-
C.
countryCedingTerritory
Indicates that one country is formally transferring control or ownership of a portion of its territory to another entity.
-
D.
colonized
chosen
Indicates that one entity established control over and settled in the territory of another entity, often imposing its own systems, structures, or population there.
-
E.
colonialOffshoot
Indicates that one entity originated as a colony or derivative settlement established by another entity.
- F. None of above.
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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9857058881909e0a40e2024a7b4c |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a0331e08190b42df462c50e1f44 |
completed | April 4, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:58 p.m.