Triple

T2126226
Position Surface form Disambiguated ID Type / Status
Subject University Grants Commission E46430 entity
Predicate grantsRecognitionTo P35290 FINISHED
Object universities in India 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: universities in India | Statement: [University Grants Commission, grantsRecognitionTo, universities in India]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantsRecognitionTo
Context triple: [University Grants Commission, grantsRecognitionTo, universities in India]
  • A. granteeRecognition
    Indicates that an entity acknowledges, credits, or formally recognizes a grantee for their role, contribution, or status in relation to a grant.
  • B. notableGrant
    Indicates that an entity has received a grant or funding award that is considered significant or noteworthy.
  • C. grantedIn
    Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
  • D. grantedBy
    Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
  • E. grantedTo
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • F. None of above. chosen

Provenance (4 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb59182081908470f9be97e272c8 completed March 7, 2026, 5:44 a.m.
PD Predicate disambiguation batch_69abb7bd86cc8190938ef06c1ed6d969 completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb895d11881908345032595a679ba completed March 7, 2026, 5:33 a.m.
Created at: March 4, 2026, 7:44 p.m.