Triple
T28090333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reynaldo Bignone |
E709937
|
entity |
| Predicate | regimeTypeLed |
P164032
|
FINISHED |
| Object | military 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: military dictatorship | Statement: [Reynaldo Bignone, regimeTypeLed, military dictatorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regimeTypeLed Context triple: [Reynaldo Bignone, regimeTypeLed, military dictatorship]
-
A.
regimeType
Indicates the form or system of governance under which an entity (such as a state or organization) is ruled or administered.
-
B.
governedByInstrument
Indicates that an action, process, or state is carried out, regulated, or controlled through the use of a specific instrument or tool.
-
C.
endedRegimeType
Indicates that one entity brought about the termination or cessation of a particular type of regime associated with another entity.
-
D.
usedByRegimeType
Indicates that something (such as a method, policy, or tool) is employed or implemented by a particular type of political regime.
-
E.
leadingTone
Indicates that one musical pitch functions as a leading tone, creating a strong tendency to resolve stepwise (typically upward) to a specific target pitch.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 8:58 p.m.