Triple
T18851391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PD |
E461047
|
entity |
| Predicate | supportsFormOfGovernment |
P92232
|
FINISHED |
| Object | parliamentary republic |
—
|
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: parliamentary republic | Statement: [PD, supportsFormOfGovernment, parliamentary republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsFormOfGovernment Context triple: [PD, supportsFormOfGovernment, parliamentary republic]
-
A.
supportedPoliticalSystem
chosen
Indicates that one entity endorsed, favored, or actively backed a particular political system or form of governance.
-
B.
hasFormOfGovernmentContext
Indicates that an entity has a particular form of government specifically within a given contextual scope (such as a time period, jurisdiction, or situation).
-
C.
opposedFormOfGovernment
Indicates that one entity holds a stance against, or is in opposition to, the form of government represented by the other entity.
-
D.
supportedGovernment
Indicates that one entity provided assistance, endorsement, or backing to a particular government or governing authority.
-
E.
formedGovernmentWith
Indicates that two or more political entities joined together to establish or lead a government in partnership.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05995e88190b189864fcbda68e5 |
completed | April 20, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.