Triple
T32140278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Managua earthquake of 1972 |
E820881
|
entity |
| Predicate | presidentOfNicaraguaAtTime |
P174134
|
FINISHED |
| Object | Anastasio Somoza Debayle |
—
|
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: Anastasio Somoza Debayle | Statement: [Managua earthquake of 1972, presidentOfNicaraguaAtTime, Anastasio Somoza Debayle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentOfNicaraguaAtTime Context triple: [Managua earthquake of 1972, presidentOfNicaraguaAtTime, Anastasio Somoza Debayle]
-
A.
presidentialCandidateOfFSLN
Indicates that a person is the presidential candidate representing the FSLN (Sandinista National Liberation Front) party.
-
B.
runningMateOfDanielOrtega
Indicates that one entity served or was selected as the vice-presidential running mate of Daniel Ortega in an election.
-
C.
presidentOfChileAtTime
Indicates that a person holds the office of President of Chile during a specified time period.
-
D.
presidentOfBrazilAtTime
Indicates that a person holds the office of President of Brazil during a specified time period.
-
E.
hasPresidentOfVenezuela
Indicates that one entity serves as the president of Venezuela in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69f349039e0c819091c7a7d322e3f46d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:30 a.m.