Triple
T27027977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Seal Vocational Scholars award |
E680840
|
entity |
| Predicate | hasAwardedAcademicField |
P67362
|
FINISHED |
| Object | career education programs |
—
|
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: career education programs | Statement: [Gold Seal Vocational Scholars award, hasAwardedAcademicField, career education programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardedAcademicField Context triple: [Gold Seal Vocational Scholars award, hasAwardedAcademicField, career education programs]
-
A.
hasAwardedFieldOfWork
Indicates that an entity has received an award specifically for work or contributions in a particular field or area of activity.
-
B.
hasLaureateField
Indicates that an entity recognized as a laureate is associated with a particular field or discipline in which the honor was awarded.
-
C.
hasAcademicRecognition
Indicates that an entity has received some form of academic honor, award, or formal recognition from an educational or scholarly institution.
-
D.
hasAwardField
Indicates that an entity’s award is associated with or categorized under a particular field or domain.
-
E.
hasAwardedDisciplines
chosen
Indicates that an entity has granted awards in specific academic or professional disciplines.
- 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_69eeeb5566f08190813daf896fa3da04 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:12 a.m.