Triple
T26343641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential election of Chile 1970 |
E662717
|
entity |
| Predicate | ledToPresidencyOf |
P17852
|
FINISHED |
| Object | Salvador Allende |
—
|
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: Salvador Allende | Statement: [Presidential election of Chile 1970, ledToPresidencyOf, Salvador Allende]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledToPresidencyOf Context triple: [Presidential election of Chile 1970, ledToPresidencyOf, Salvador Allende]
-
A.
designationAsPresidentWas
Indicates that an entity was formally appointed or recognized as president of another entity at a particular time or under specific conditions.
-
B.
wonPresidencyWith
Indicates that one entity attained the presidency by means of, or through the support, strategy, or circumstances provided by, another entity.
-
C.
succeededByAsPresident
Indicates that one individual directly followed another in holding the office of president.
-
D.
hadMajorPresidency
Indicates that the subject held a primary or significant presidential office over the object entity (such as a country, organization, or institution).
-
E.
wonPresidentialElection
chosen
Indicates that one entity achieved victory over others in a presidential election.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa593688190af7f148b5ee6ce51 |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f602d2ec748190ae95154f34c7878f |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 10:40 p.m.