Triple
T2233923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS in Robotic Systems Development |
E49232
|
entity |
| Predicate | isProfessionalProgram |
P2192
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MS in Robotic Systems Development, isProfessionalProgram, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isProfessionalProgram Context triple: [MS in Robotic Systems Development, isProfessionalProgram, true]
-
A.
isPro
Indicates that an entity is a professional or expert in a particular field, activity, or domain.
-
B.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
C.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
D.
establishedProgram
Indicates that an entity has created and put into operation a formal program that is now in an active, ongoing state.
-
E.
hasOnlinePrograms
Indicates that an entity offers or provides programs, courses, or services that are available online.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0913f1c8190ac9cfeb0f1c84a76 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.