Triple
T11620175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Institutes of Management |
E275615
|
entity |
| Predicate | primaryDegreeAwarded |
P45182
|
FINISHED |
| Object | Master of Business Administration |
—
|
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: Master of Business Administration | Statement: [Indian Institutes of Management, primaryDegreeAwarded, Master of Business Administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDegreeAwarded Context triple: [Indian Institutes of Management, primaryDegreeAwarded, Master of Business Administration]
-
A.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
-
B.
degreeGrantedBy
chosen
Indicates that a specific academic degree was officially conferred by a particular granting institution.
-
C.
eligibleDegree
Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
-
D.
primaryDurationOfStudy
Indicates the main length of time allocated or required for a particular course of study or educational program.
-
E.
hasHighestRegularDegree
Indicates that the subject has the greatest regular (non-irregular or non-special) degree value among a set of comparable entities.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.