Triple

T27262514
Position Surface form Disambiguated ID Type / Status
Subject Department of Chemistry, PSG College of Technology E687804 entity
Predicate servesStudentsIn P9355 FINISHED
Object engineering 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: engineering | Statement: [Department of Chemistry, PSG College of Technology, servesStudentsIn, engineering]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesStudentsIn
Context triple: [Department of Chemistry, PSG College of Technology, servesStudentsIn, engineering]
  • A. usesStudentsFor
    Indicates that one entity employs or exploits students as a resource or means to carry out its activities or achieve its objectives.
  • B. hasStudents
    Indicates that an entity (such as a class, school, or teacher) is associated with one or more students.
  • C. servesStudentPopulation chosen
    Indicates that an entity provides services, resources, or support to a defined group of students.
  • D. admitsStudentsFrom
    Indicates that an educational institution accepts or enrolls students who come from a specified source, such as a school, region, or program.
  • E. servesAsTeachingSiteFor
    Indicates that one entity functions as a location or institution where teaching, training, or educational activities are conducted for another entity.
  • 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_69ef3557abc481908bf3c146f0f3356a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69fcc4b700748190ae00b21d09c96695 completed May 7, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69fcb0f9d3d881908a049475182fb039 completed May 7, 2026, 3:34 p.m.
Created at: April 27, 2026, 10:53 a.m.