Triple

T25683438
Position Surface form Disambiguated ID Type / Status
Subject Department of Chemistry, National Institute of Technology Tiruchirappalli E644000 entity
Predicate supportsDegreeLevel P19022 FINISHED
Object masters 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: masters | Statement: [Department of Chemistry, National Institute of Technology Tiruchirappalli, supportsDegreeLevel, masters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsDegreeLevel
Context triple: [Department of Chemistry, National Institute of Technology Tiruchirappalli, supportsDegreeLevel, masters]
  • A. supportsLevelOfStudy chosen
    Indicates that one entity provides or is compatible with a specified level of academic or educational study for another entity.
  • B. eligibleDegree
    Indicates that an academic degree qualifies its holder to be considered eligible for a particular program, position, or requirement.
  • C. possibleDegreeLevel
    Indicates the academic or qualification level that an entity can potentially attain, offer, or be associated with.
  • D. grantsDegreeLevel
    Indicates that an institution or program confers a specific academic degree level (such as bachelor’s, master’s, or doctorate) upon completion.
  • E. haveDegree
    Indicates that an entity possesses or has obtained a specific academic or professional degree.
  • 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_69e77e8046888190b07ffa58c7e2c37a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f7be53890081909b1d93f30a8f31c6 completed May 3, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69f7bccacbac8190978976324c67db28 completed May 3, 2026, 9:23 p.m.
Created at: April 21, 2026, 8:04 p.m.