Triple
T31723693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golpe de Estado de 1955 en Argentina |
E809650
|
entity |
| Predicate | afecta |
P142521
|
FINISHED |
| Object | Partido Peronista |
—
|
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: Partido Peronista | Statement: [Golpe de Estado de 1955 en Argentina, afecta, Partido Peronista]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afecta Context triple: [Golpe de Estado de 1955 en Argentina, afecta, Partido Peronista]
-
A.
alsoAffects
chosen
Indicates that an action, condition, or change impacting one entity additionally impacts another entity as well.
-
B.
اثر
Indicates a causal or influential relationship where one entity produces, changes, or leaves an impact on another.
-
C.
اثر
Indicates that one entity has an effect, influence, or impact on another entity.
-
D.
ate
Indicates that one entity consumed another entity as food or nourishment.
-
E.
affectedPerson
Indicates that a particular person is impacted or influenced by an event, action, or condition.
- 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_69f348e009c8819095d77df52c645b9c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6aafa2a1481909ecc84df0624c2b9 |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:19 p.m.