Triple
T18455545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Domingo Perón |
E450893
|
entity |
| Predicate | firstTermAsPresident |
P11167
|
FINISHED |
| Object | 1946-1952 |
—
|
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: 1946-1952 | Statement: [Juan Domingo Perón, firstTermAsPresident, 1946-1952]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstTermAsPresident Context triple: [Juan Domingo Perón, firstTermAsPresident, 1946-1952]
-
A.
presidentAtStartOfTerm
Indicates that the subject was the president holding office at the beginning of the specified term or period.
-
B.
firstElectedPresident
Indicates that the subject became the first person ever elected to the office of president of the specified entity or organization.
-
C.
firstPresidentUnder
Indicates that one entity is the first president to serve under, or within the tenure or authority of, another entity (such as a country, organization, or regime).
-
D.
presidentialTerm
chosen
Indicates the period of time during which an individual officially serves as president of a country or organization.
-
E.
wasFirstPresidentAfter
Indicates that one entity served as the first president immediately following another specified entity.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264c10408190b2085ade88655c7d |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:31 a.m.