Triple
T20518253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobayashi Maru training scenario |
E503735
|
entity |
| Predicate | academyLevel |
P4144
|
FINISHED |
| Object | Starfleet Academy command-track cadets |
—
|
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: Starfleet Academy command-track cadets | Statement: [Kobayashi Maru training scenario, academyLevel, Starfleet Academy command-track cadets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyLevel Context triple: [Kobayashi Maru training scenario, academyLevel, Starfleet Academy command-track cadets]
-
A.
trainingLevel
chosen
Indicates the degree or stage of training or skill development that an entity has attained.
-
B.
disciplineLevel
Indicates the degree or strictness of control, order, or self-regulation applied in a given context or relationship.
-
C.
taughtAtLevel
Indicates that an entity provided instruction or teaching at a specified level of education, difficulty, or proficiency.
-
D.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
-
E.
admissionsLevel
Indicates the degree or category of access, entry, or acceptance granted in an admissions context.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f43e0b08190b043f35645b264a0 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:36 a.m.