Triple

T26893333
Position Surface form Disambiguated ID Type / Status
Subject মাদ্রাজ E677835 entity
Predicate শিক্ষাপ্রতিষ্ঠান P46882 FINISHED
Object মাদ্রাজ বিশ্ববিদ্যালয়
মাদ্রাজ বিশ্ববিদ্যালয় হলো ভারতের চেন্নাই (প্রাক্তন মাদ্রাজ) শহরে অবস্থিত একটি প্রাচীন ও স্বনামধন্য সরকারি বিশ্ববিদ্যালয়, যা উচ্চশিক্ষা ও গবেষণার জন্য সুপরিচিত।
 E1748620 NE FINISHED

How this triple was built (3 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: মাদ্রাজ বিশ্ববিদ্যালয় | Statement: [মাদ্রাজ, শিক্ষাপ্রতিষ্ঠান, মাদ্রাজ বিশ্ববিদ্যালয়]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: মাদ্রাজ বিশ্ববিদ্যালয়
Triple: [মাদ্রাজ, শিক্ষাপ্রতিষ্ঠান, মাদ্রাজ বিশ্ববিদ্যালয়]
Generated description
মাদ্রাজ বিশ্ববিদ্যালয় হলো ভারতের চেন্নাই (প্রাক্তন মাদ্রাজ) শহরে অবস্থিত একটি প্রাচীন ও স্বনামধন্য সরকারি বিশ্ববিদ্যালয়, যা উচ্চশিক্ষা ও গবেষণার জন্য সুপরিচিত।
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: শিক্ষাপ্রতিষ্ঠান
Context triple: [মাদ্রাজ, শিক্ষাপ্রতিষ্ঠান, মাদ্রাজ বিশ্ববিদ্যালয়]
  • A. educationFacility chosen
    Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
  • B. academicInstitutionType
    Indicates the specific category or kind of academic institution an entity is classified as (e.g., university, college, high school).
  • C. typeOfInstitution
    Indicates the specific kind or category of institution that an entity belongs to or is classified as.
  • D. educationalSector
    Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
  • E. isEducationalCenterOf
    Indicates that an institution functions as the primary educational center serving, representing, or associated with a particular area, organization, or group.
  • F. None of above.

Provenance (6 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_69eee9befee48190a26f214faa867be7 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61f69e4508190ab20c3f2052282e7 completed May 2, 2026, 3:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121ea2fa008190913b10dedb3b67a6 completed May 23, 2026, 9:39 p.m.
NEDg Description generation batch_6a121f90eec08190bd18be556349e464 completed May 23, 2026, 9:43 p.m.
NED2 Entity disambiguation (via description) batch_6a1220621c4c81909da5a95967d52202 completed May 23, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69f611af72ac819094598dd2530d7411 completed May 2, 2026, 3:01 p.m.
Created at: April 27, 2026, 5:46 a.m.