Triple

T14271619
Position Surface form Disambiguated ID Type / Status
Subject Rajput painting E353798 entity
Predicate hasRegionalSchool P113520 FINISHED
Object Mewar painting 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: Mewar painting | Statement: [Rajput painting, hasRegionalSchool, Mewar painting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRegionalSchool
Context triple: [Rajput painting, hasRegionalSchool, Mewar painting]
  • A. hasSchoolIn
    Indicates that a school is located within or operates in a specified place or region.
  • B. sharesRegionalSchoolDistrictWith
    Indicates that two entities are part of, or served by, the same regional school district.
  • C. hasSchool
    Indicates that an entity possesses, is associated with, or is served by a particular school.
  • D. hasSpecializedSchool
    Indicates that an entity operates or is associated with a school focused on a specific field, discipline, or specialized type of education.
  • E. hasSchoolDistricts
    Indicates that one entity administers, contains, or is associated with one or more school districts.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de65811d7c8190b075909a6570d415 completed April 14, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69de2a7d586c8190846ff242bbf5ac53 completed April 14, 2026, 11:52 a.m.
PDg Predicate description generation batch_69de2e07d1f88190bdcd20967e484718 completed April 14, 2026, 12:07 p.m.
Created at: April 10, 2026, 1:10 a.m.