Triple

T11553711
Position Surface form Disambiguated ID Type / Status
Subject Ryotwari system E273958 entity
Predicate administrativeUnitOfAssessment P18032 FINISHED
Object field or plot 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: field or plot | Statement: [Ryotwari system, administrativeUnitOfAssessment, field or plot]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeUnitOfAssessment
Context triple: [Ryotwari system, administrativeUnitOfAssessment, field or plot]
  • A. assessedBy
    Indicates that an entity has been evaluated, examined, or judged by another entity (typically an agent or authority).
  • B. assessmentAreaDefinedBy chosen
    Indicates that the scope or domain of an assessment is specified or delimited by a particular area or boundary.
  • C. managementUnitOf
    Indicates that one entity serves as the administrative or managerial unit responsible for overseeing or controlling another entity.
  • D. administrativeUnitLevel
    Indicates the hierarchical level or rank of an administrative unit within an overall administrative or governmental structure.
  • E. scoringUnit
    Indicates that one entity functions as a unit or component responsible for scoring or assigning scores to another entity.
  • 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.