Triple
T20828831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viazul |
E512772
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Cuban state |
—
|
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: Cuban state | Statement: [Viazul, ownedBy, Cuban state]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuban state Context triple: [Viazul, ownedBy, Cuban state]
-
A.
Central Cuba
Central Cuba is a geographic area on the island of Cuba known for its mix of colonial cities, agricultural plains, and coastal regions along the Atlantic and Caribbean.
-
B.
Cuba
Cuba is a Caribbean island nation known for its communist government, historic Havana architecture, classic cars, and influential music and culture.
-
C.
Cuba
Cuba is a municipality in Portugal’s Beja District, known for its rural Alentejo landscape and traditional wine production.
-
D.
Cuban government
chosen
The Cuban government is the centralized socialist state authority of the Republic of Cuba, overseeing its political, economic, and social systems under one-party rule.
-
E.
Cubão
Cubão is a locality in the state of São Paulo, Brazil, situated near the industrial city of São Bernardo do Campo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32030c081908249449aae5925c8 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.