Triple

T37113503
Position Surface form Disambiguated ID Type / Status
Subject Narsee Monjee College of Commerce and Economics E919056 entity
Predicate admissionCharacteristic P187161 FINISHED
Object high cut-off percentages 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: high cut-off percentages | Statement: [Narsee Monjee College of Commerce and Economics, admissionCharacteristic, high cut-off percentages]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: admissionCharacteristic
Context triple: [Narsee Monjee College of Commerce and Economics, admissionCharacteristic, high cut-off percentages]
  • A. admissionType
    Indicates the category or manner in which an entity (such as a person or case) is formally accepted or admitted into a system, institution, or process.
  • B. admissionAct
    Indicates the act or event of formally allowing or accepting someone or something into a place, group, institution, or state.
  • C. admissionRequired
    Indicates that access to something is conditional on being formally admitted or granted entry beforehand.
  • D. hasAdmission
    Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
  • E. typicalAdmission
    Indicates that an entity is a standard or commonly expected type of admission associated with another entity (such as an institution, event, or program).
  • 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_69f76e9c57148190ba789dd059645bb9 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb344c60f8819090f2e21e1e61d621 completed May 6, 2026, 12:30 p.m.
PD Predicate disambiguation batch_69fb2f642db08190b562725502c74ea6 completed May 6, 2026, 12:09 p.m.
PDg Predicate description generation batch_69fb344ba5408190a6fe8face293d88b completed May 6, 2026, 12:30 p.m.
Created at: May 3, 2026, 4:15 p.m.