Triple
T28090451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juicio a las Juntas |
E709939
|
entity |
| Predicate | acquittedPerson |
P162381
|
FINISHED |
| Object | Leopoldo Fortunato Galtieri |
—
|
NE NERFINISHED |
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: Leopoldo Fortunato Galtieri | Statement: [Juicio a las Juntas, acquittedPerson, Leopoldo Fortunato Galtieri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquittedPerson Context triple: [Juicio a las Juntas, acquittedPerson, Leopoldo Fortunato Galtieri]
-
A.
acquittedOf
Indicates that an authority has formally cleared an entity of a specific charge, accusation, or wrongdoing.
-
B.
acquittedBy
Indicates that an entity was formally cleared of charges or blame through a decision or judgment made by another entity.
-
C.
exoneratedIn
chosen
Indicates that an entity has been officially cleared of blame or legal responsibility in a particular case, situation, or proceeding.
-
D.
numberOfAcquittals
Indicates the count of instances in which an entity has been formally acquitted of charges or accusations.
-
E.
wronglyConvictedPerson
Indicates that a person has been found guilty and convicted of a crime they did not actually commit.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 8:58 p.m.