Triple
T2040455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Naval Academy |
E44730
|
entity |
| Predicate | academicProgramLength |
P24633
|
FINISHED |
| Object | four-year undergraduate program |
—
|
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: four-year undergraduate program | Statement: [United States Naval Academy, academicProgramLength, four-year undergraduate program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicProgramLength Context triple: [United States Naval Academy, academicProgramLength, four-year undergraduate program]
-
A.
courseLength
Indicates the duration or total length of a course, typically measured in units such as hours, weeks, or credits.
-
B.
programLength
chosen
Indicates the duration or total length of a program, typically measured in time or size.
-
C.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
D.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
-
E.
degreeSystem
Indicates a relationship where an entity’s degree or qualification is defined, classified, or governed by a particular educational or grading system.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.