Triple
T4800697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FET y de las JONS |
E106823
|
entity |
| Predicate | typeOfGovernmentSupport |
P22518
|
FINISHED |
| Object | 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: dictatorship | Statement: [FET y de las JONS, typeOfGovernmentSupport, dictatorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfGovernmentSupport Context triple: [FET y de las JONS, typeOfGovernmentSupport, dictatorship]
-
A.
supportedGovernment
Indicates that one entity provided assistance, endorsement, or backing to a particular government or governing authority.
-
B.
governmentTypeSupported
chosen
Indicates that an entity endorses, backs, or is in favor of a particular form or system of government.
-
C.
governmentSponsor
Indicates that a government entity provides funding, support, or backing for another entity, project, or activity.
-
D.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
E.
cityGovernmentSupport
Indicates that a city’s governing authorities provide backing, resources, or endorsement to a person, group, project, or initiative.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6b40c29c8190adab3503f8ba0145 |
completed | March 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69bd622f88188190a51d52ccfad3d2dd |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:23 p.m.