Triple

T1196197
Position Surface form Disambiguated ID Type / Status
Subject Caimito E25672 entity
Predicate hasAgriculturalProduction P25683 FINISHED
Object food crops for Havana market 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: food crops for Havana market | Statement: [Caimito, hasAgriculturalProduction, food crops for Havana market]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAgriculturalProduction
Context triple: [Caimito, hasAgriculturalProduction, food crops for Havana market]
  • A. agriculturalRole
    Indicates a role or function that an entity has within agricultural activities, production, or systems.
  • B. locatedInAgriculturalRegion
    Indicates that an entity is situated within a region primarily characterized by agricultural activities or land use.
  • C. agriculturalPractice
    Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
  • D. cultivatedFor
    Indicates that one entity is intentionally grown, raised, or developed for the benefit, use, or purpose of another entity.
  • E. majorCrop
    Indicates that a particular crop is one of the primary or most important crops cultivated in a given area or context.
  • F. None of above. chosen

Provenance (4 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd7a756c819085d695acfffeaceb completed March 1, 2026, 10:28 p.m.
PD Predicate disambiguation batch_69a4bb5d40a08190b7682d8ef8075421 completed March 1, 2026, 10:19 p.m.
PDg Predicate description generation batch_69a4bc49693c8190978ec63a5171d342 completed March 1, 2026, 10:23 p.m.
Created at: March 1, 2026, 7:46 p.m.