Triple
T4097122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gettysburg College |
E87847
|
entity |
| Predicate | hasStrongProgramLevel |
P21470
|
FINISHED |
| Object | undergraduate 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: undergraduate programs | Statement: [Gettysburg College, hasStrongProgramLevel, undergraduate programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStrongProgramLevel Context triple: [Gettysburg College, hasStrongProgramLevel, undergraduate programs]
-
A.
hasStrongProgramIn
Indicates that an institution or organization offers a particularly high-quality or well-regarded program in a specified field or area.
-
B.
programLevel
chosen
Indicates the hierarchical or categorical level at which a program is defined or operates (e.g., undergraduate, graduate, or other tiers).
-
C.
hasMajorProgram
Indicates that an educational institution offers a specific field of study as a primary academic program.
-
D.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
-
E.
hasAcademicStrengthIn
Indicates that an entity possesses notable ability, proficiency, or strong performance in a particular academic subject or field.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcdef11081908c626a89f2c0e121 |
completed | March 9, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69aef90b2ef08190ae84febfd69dd48b |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:40 p.m.