Triple

T11553692
Position Surface form Disambiguated ID Type / Status
Subject Ryotwari system E273958 entity
Predicate landRevenueAssessedOn P59668 FINISHED
Object individual cultivator 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: individual cultivator | Statement: [Ryotwari system, landRevenueAssessedOn, individual cultivator]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: landRevenueAssessedOn
Context triple: [Ryotwari system, landRevenueAssessedOn, individual cultivator]
  • A. hasCadastralArea
    Indicates that an entity possesses or is associated with a specific cadastral (official land registry) area measurement.
  • B. hasPropertyTaxBase chosen
    Indicates that one entity serves as the property tax base or source from which another entity’s property tax is assessed or calculated.
  • C. acquiredLandArea
    Indicates the total area of land that has been obtained or taken possession of through an acquisition.
  • D. landTenure
    Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
  • E. hasLandStatus
    Indicates that an entity possesses a particular legal or administrative status regarding land (such as ownership, tenure, protection, or use designation).
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a85b9ac8190a57c1fdaeacbe3d6 completed April 10, 2026, 5:28 a.m.
PD Predicate disambiguation batch_69d8087e57b48190a4c253dc0210f9d4 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:37 p.m.