Triple

T38663966
Position Surface form Disambiguated ID Type / Status
Subject Mughal Subah of Lahore E940404 entity
Predicate hadAdministrativeDivision P156955 FINISHED
Object sarkar 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: sarkar | Statement: [Mughal Subah of Lahore, hadAdministrativeDivision, sarkar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadAdministrativeDivision
Context triple: [Mughal Subah of Lahore, hadAdministrativeDivision, sarkar]
  • A. hadDivisionInCountry
    Indicates that an organization or entity maintained a formal division, branch, or subsidiary operating within a specified country.
  • B. isAdministrativeDivision chosen
    Indicates that one entity functions as an official administrative subdivision or jurisdiction within the governance structure of another entity.
  • C. usesAdministrativeDivisionSystemOf
    Indicates that one entity applies or follows the administrative division system that is defined or used by another entity.
  • D. hasEponymousAdministrativeDivision
    Indicates that an entity gives its name to an administrative division (such as a city, region, or district) that is named after it.
  • E. isCentralAdministrativeDivisionFor
    Indicates that one administrative unit serves as the primary governing or managing division for another entity or territory.
  • 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_69f76edfde348190bf6529d9f49ecd62 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdfbc71c481908ba7f87907b17782 completed May 7, 2026, 6:53 p.m.
PD Predicate disambiguation batch_69fcdbe580b8819087f143596b2c79c0 completed May 7, 2026, 6:37 p.m.
Created at: May 3, 2026, 4:33 p.m.