Triple
T17232160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Day After That |
E418267
|
entity |
| Predicate | basedOnContext |
P2919
|
FINISHED |
| Object | Latin American dictatorship |
—
|
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: Latin American dictatorship | Statement: [The Day After That, basedOnContext, Latin American dictatorship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnContext Context triple: [The Day After That, basedOnContext, Latin American dictatorship]
-
A.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
-
B.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
C.
contextOf
chosen
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
D.
basedOnResource
Indicates that one entity is derived from, created using, or conceptually dependent on another entity as its underlying resource.
-
E.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df7da748190a3a1762a67eb871b |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3832553ac819091aa917c84f755b6 |
completed | April 18, 2026, 1:12 p.m. |
Created at: April 10, 2026, 5:39 a.m.