Triple
T32127018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | unicameral American Samoa Fono |
E820527
|
entity |
| Predicate | changedToBicameral |
P128103
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [unicameral American Samoa Fono, changedToBicameral, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changedToBicameral Context triple: [unicameral American Samoa Fono, changedToBicameral, true]
-
A.
changedLegislatureStructureTo
chosen
Indicates that an entity altered the organizational structure or composition of a legislative body to a new specified form.
-
B.
reorganizedAsUnicameralIn
Indicates that a previously different legislative structure was changed into a unicameral (single-chamber) system in a specified place or time.
-
C.
hasBicameralStructure
Indicates that an entity possesses a two-chamber (two-house) internal organizational or legislative structure.
-
D.
hasUnicameralOrBicameralContext
Indicates that an entity is associated with a legislative context specifying whether it is unicameral or bicameral.
-
E.
hasPositionInBicameralSystem
Indicates that an entity holds a specific role or seat within one of the chambers of a bicameral legislative system.
- 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_69f34902d42c819083a8e6bba9a8bb9a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 12:29 a.m.