Triple

T1122248
Position Surface form Disambiguated ID Type / Status
Subject Dry Creek Valley AVA E24636 entity
Predicate hasAgriculturalActivity P4104 FINISHED
Object viticulture 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: viticulture | Statement: [Dry Creek Valley AVA, hasAgriculturalActivity, viticulture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAgriculturalActivity
Context triple: [Dry Creek Valley AVA, hasAgriculturalActivity, viticulture]
  • 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 chosen
    Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
  • D. hasRuralArea
    Indicates that an entity includes, is associated with, or contains a countryside or sparsely populated geographic area.
  • E. farmingCharacteristics
    Indicates the specific methods, practices, or attributes that characterize how farming is conducted in relation to an 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb4749ac8190b0fbddac2e9b2586 completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.