Triple

T9950189
Position Surface form Disambiguated ID Type / Status
Subject Mir Mahbub Ali Khan E195308 entity
Predicate implementedModernizationMeasures P91319 FINISHED
Object true 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: true | Statement: [Mir Mahbub Ali Khan, implementedModernizationMeasures, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: implementedModernizationMeasures
Context triple: [Mir Mahbub Ali Khan, implementedModernizationMeasures, true]
  • A. modernizationFeatures
    Indicates that something includes characteristics, elements, or improvements associated with making it more modern or up to date.
  • B. modernizationType
    Indicates the specific kind or category of modernization applied to an entity or system.
  • C. modernizationPriority
    Indicates the relative importance or urgency assigned to updating, improving, or replacing something with more modern methods, technologies, or standards.
  • D. modernization
    Indicates a process by which something is updated, reformed, or transformed to align with contemporary standards, technologies, or practices.
  • E. modernizationPolicy
    Indicates the implementation or presence of policies aimed at updating, reforming, or advancing existing systems, structures, or practices.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb65a4e6c8190968192a24aad1b7d completed April 2, 2026, 12:20 a.m.
PD Predicate disambiguation batch_69cd1d97c44081908730071269f07712 completed April 1, 2026, 1:28 p.m.
PDg Predicate description generation batch_69cd358386f48190833c862b5b8c04b2 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 8:45 p.m.