Triple

T15776471
Position Surface form Disambiguated ID Type / Status
Subject Tashkent Region E382503 entity
Predicate hasMajorAgriculturalActivity P25683 FINISHED
Object cotton cultivation 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: cotton cultivation | Statement: [Tashkent Region, hasMajorAgriculturalActivity, cotton cultivation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMajorAgriculturalActivity
Context triple: [Tashkent Region, hasMajorAgriculturalActivity, cotton cultivation]
  • A. hasAgriculturalProduction chosen
    Indicates that an entity engages in or is characterized by the production of agricultural goods such as crops or livestock.
  • B. hasAgriculturalCharacter
    Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
  • C. hasAgriculturalAssociation
    Indicates that there exists a formal or recognized connection between an entity and an agricultural organization, group, or activity.
  • D. isAgriculturalCity
    Indicates that a city is primarily characterized by agriculture-based activities, economy, or land use.
  • E. hasNearbyAgriculturalActivity
    Indicates that an entity is located close enough to agricultural operations or land use for those activities to be considered relevant or influential to it.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05199cd8881909462462cec34d35a completed April 16, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e00531e7ac8190a4190cce4f7fab4c completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.