Triple

T10612296
Position Surface form Disambiguated ID Type / Status
Subject Mughal Subah of Allahabad E276033 entity
Predicate hadRevenueImportance P1887 FINISHED
Object significant contributor to imperial treasury 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: significant contributor to imperial treasury | Statement: [Mughal Subah of Allahabad, hadRevenueImportance, significant contributor to imperial treasury]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadRevenueImportance
Context triple: [Mughal Subah of Allahabad, hadRevenueImportance, significant contributor to imperial treasury]
  • A. hasCommercialImportance
    Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
  • B. revenueImportanceForAirlines
    Indicates how important a given source, activity, or factor is in generating revenue for airlines.
  • C. peakImportance
    Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
  • D. majorImport
    Indicates that one entity is a primary or significant source of imported goods or resources for another entity.
  • E. isImportantFor chosen
    Indicates that something holds significant value, relevance, or necessity in relation to something else.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5baf94819097b14a73af058f35 completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7a223c8190854409d76368f3e8 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 7:33 p.m.