Triple
T17754219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recruit Training Command Great Lakes |
E443189
|
entity |
| Predicate | typicalCourseDuration |
P69213
|
FINISHED |
| Object | approximately 8 to 10 weeks |
—
|
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: approximately 8 to 10 weeks | Statement: [Recruit Training Command Great Lakes, typicalCourseDuration, approximately 8 to 10 weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalCourseDuration Context triple: [Recruit Training Command Great Lakes, typicalCourseDuration, approximately 8 to 10 weeks]
-
A.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
B.
typicalCourse
Indicates that one entity is a standard or commonly taken course associated with another entity, such as a program, curriculum, or field of study.
-
C.
approximateCourseLength
chosen
Indicates an estimated or rough value for the length or duration of a course rather than an exact measurement.
-
D.
hasCourseLength
Indicates that an entity (such as a course) is associated with a specific duration or length.
-
E.
typicalAgeAtCompletion
Indicates the age at which an entity (such as a program, activity, or process) is typically completed.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841da9988190b5efde3bbd3f24c3 |
completed | April 19, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69e3cde9dc288190af0e2198487f2051 |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:10 a.m.