Triple
T20547571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atal Bihari Vajpayee Medical University |
E504510
|
entity |
| Predicate | hasAffiliatedInstitutionType |
P29027
|
FINISHED |
| Object | medical college |
—
|
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: medical college | Statement: [Atal Bihari Vajpayee Medical University, hasAffiliatedInstitutionType, medical college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAffiliatedInstitutionType Context triple: [Atal Bihari Vajpayee Medical University, hasAffiliatedInstitutionType, medical college]
-
A.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
B.
associatedInstitutionType
chosen
Indicates the type or category of institution with which an entity is associated.
-
C.
hasPrimaryInstitutionType
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
-
D.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
E.
hasAcademicOrganizationType
Indicates that an academic organization is associated with or classified under a specific organizational type (such as department, faculty, institute, or school).
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a2991ac8819089b8c2d70eb88952 |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.