Triple
T6474727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Congress of Bolivia |
E146040
|
entity |
| Predicate | replacedChamberStructure |
P10258
|
FINISHED |
| Object | bicameral to bicameral under new name |
—
|
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: bicameral to bicameral under new name | Statement: [National Congress of Bolivia, replacedChamberStructure, bicameral to bicameral under new name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedChamberStructure Context triple: [National Congress of Bolivia, replacedChamberStructure, bicameral to bicameral under new name]
-
A.
hasChamberStructure
Indicates that an entity possesses a specific internal chamber or compartmentalized structural organization.
-
B.
replacedStructure
chosen
Indicates that one structure has been substituted for, or taken the place of, another structure.
-
C.
chamberedFor
Indicates that a firearm is designed or configured to safely accept and fire a specific cartridge or ammunition type in its chamber.
-
D.
chamber2
Indicates that one entity serves as a secondary or inner chamber, room, or compartment associated with another entity.
-
E.
chamber1
Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a341360819082f2b5496a1a68b0 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:50 p.m.