Triple
T31662694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radical Governments period (1938–1952) |
E808042
|
entity |
| Predicate | legislativeSupport |
P66433
|
FINISHED |
| Object | coalition majorities in Congress |
—
|
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: coalition majorities in Congress | Statement: [Radical Governments period (1938–1952), legislativeSupport, coalition majorities in Congress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legislativeSupport Context triple: [Radical Governments period (1938–1952), legislativeSupport, coalition majorities in Congress]
-
A.
supportedLegislation
Indicates that an entity endorsed, promoted, or voted in favor of a particular piece of legislation.
-
B.
legislativeBodySupported
chosen
Indicates that a legislative body has expressed approval, endorsement, or backing for a particular entity, proposal, or action.
-
C.
sponsorOfLegislation
Indicates that one entity (typically a legislator or organization) formally supports, introduces, or co-introduces a specific piece of legislation.
-
D.
typeOfLegislationSponsored
Indicates the specific category or kind of legislation that an entity has sponsored.
-
E.
signedLegislation
Indicates that an authority formally approved and enacted a piece of legislation into law by signing it.
- 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6c1bb5f248190834161b5a6ba1ece |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6bd25bed08190befcabd3a41ffadf |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 30, 2026, 10:58 p.m.