Triple
T6438405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major League Baseball umpires |
E129956
|
entity |
| Predicate | minimumLevelOfEducation |
P15052
|
FINISHED |
| Object | high school diploma |
—
|
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: high school diploma | Statement: [Major League Baseball umpires, minimumLevelOfEducation, high school diploma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumLevelOfEducation Context triple: [Major League Baseball umpires, minimumLevelOfEducation, high school diploma]
-
A.
requiresEducation
chosen
Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
-
B.
requiresEducationIn
Indicates that one entity necessitates that another entity possess education or formal training in a specified field or discipline.
-
C.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
D.
educationStatus
Indicates the current or achieved level, stage, or condition of an entity’s formal education.
-
E.
educationLevelCharacteristic
Indicates that one entity specifies, describes, or constrains the education level associated with 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06965a5d48190a5860da9e22dc6e0 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:45 p.m.