Triple
T18455625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alberto Fernández |
E450895
|
entity |
| Predicate | leftPresidencyOn |
P124905
|
FINISHED |
| Object | 2023-12-10 |
—
|
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: 2023-12-10 | Statement: [Alberto Fernández, leftPresidencyOn, 2023-12-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftPresidencyOn Context triple: [Alberto Fernández, leftPresidencyOn, 2023-12-10]
-
A.
previousPresident
Indicates that one person held the office of president immediately before another person.
-
B.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
-
C.
formerPresidentOf
Indicates that one entity previously held, but no longer holds, the official position of president of another entity.
-
D.
presidentAtEndOfTerm
chosen
Indicates that the subject held the office of president at the conclusion of a specified term or period.
-
E.
lastPresident
Indicates that one entity is the most recent individual to have held the office of president of the other 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.