Triple
T19352694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Christian Party |
E484060
|
entity |
| Predicate | supportedRegimeType |
P135212
|
FINISHED |
| Object | royal dictatorship |
—
|
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: royal dictatorship | Statement: [National Christian Party, supportedRegimeType, royal dictatorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedRegimeType Context triple: [National Christian Party, supportedRegimeType, royal dictatorship]
-
A.
supportedRegime
Indicates that an entity provided assistance, endorsement, or backing to a particular political regime or government in power.
-
B.
usedByRegimeType
Indicates that something (such as a method, policy, or tool) is employed or implemented by a particular type of political regime.
-
C.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
D.
supportsProgramType
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
E.
supportsTestType
Indicates that one entity is capable of handling, executing, or being compatible with a specified type of test.
- F. None of above. chosen
Provenance (4 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61905b16881909ab0e932bb9a0cda |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd13a8cc81909cd02668564c9f29 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4dde92ff481909006b3f9e8d639d4 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 1:34 p.m.