Triple
T3345754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Test Combat Systems Officer Course |
E70369
|
entity |
| Predicate | targetStudent |
P11007
|
FINISHED |
| Object | combat systems officers |
—
|
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: combat systems officers | Statement: [Test Combat Systems Officer Course, targetStudent, combat systems officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetStudent Context triple: [Test Combat Systems Officer Course, targetStudent, combat systems officers]
-
A.
targetStudentGroup
chosen
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
-
B.
studentOrAssistant
Indicates that an individual has the role of either a student or an assistant in a given context or relationship.
-
C.
highSchoolForMostStudents
Indicates that the referenced school is the primary high school attended by the majority of students in a given group or area.
-
D.
hasStudents
Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
-
E.
educationalStages
Indicates the ordered levels or phases within an education system that a learner progresses through.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f36c74819093ef2c74a46c2351 |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.