Triple

T26995024
Position Surface form Disambiguated ID Type / Status
Subject Gharsana E679958 entity
Predicate hasAgriculturalOutcome P69869 FINISHED
Object increased crop production due to canal irrigation 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: increased crop production due to canal irrigation | Statement: [Gharsana, hasAgriculturalOutcome, increased crop production due to canal irrigation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAgriculturalOutcome
Context triple: [Gharsana, hasAgriculturalOutcome, increased crop production due to canal irrigation]
  • A. hasAgriculturalProduction
    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. hasAgriculturalType
    Indicates that an entity is associated with or classified by a specific type or category of agriculture.
  • D. agriculturalProduce
    Indicates that one entity is an agricultural product (such as crops or livestock-derived goods) produced by or associated with another entity.
  • E. agriculturalImpact chosen
    Indicates the effect that an action, condition, or entity has on agricultural systems, productivity, or practices.
  • 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_69eeeb52908c8190bd246244686aa455 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f625411c14819086492062e86ba8d5 completed May 2, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69f623a91b9c8190b2e2fdbc55cb89b6 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 6:54 a.m.