Triple

T31445346
Position Surface form Disambiguated ID Type / Status
Subject Mesa Verde (desert agriculture) E802170 entity
Predicate soilManagement P110999 FINISHED
Object terracing to reduce erosion 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: terracing to reduce erosion | Statement: [Mesa Verde (desert agriculture), soilManagement, terracing to reduce erosion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: soilManagement
Context triple: [Mesa Verde (desert agriculture), soilManagement, terracing to reduce erosion]
  • A. soilFertility
    Indicates the level or quality of nutrients and conditions in soil that affect its ability to support plant growth.
  • B. soilDisposition
    Indicates how soil is arranged, oriented, or distributed in relation to surrounding features or conditions.
  • C. landscapeManagement chosen
    Indicates the planning, implementation, and maintenance of actions that shape, conserve, or restore the physical and ecological characteristics of a landscape.
  • D. soilOrder
    Indicates the classification relationship that assigns a soil entity to a specific soil order within a soil taxonomy system.
  • E. hasSoil
    Indicates that one entity possesses, contains, or is associated with a particular type or instance of soil.
  • 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_69f348c5a6bc819092a557e95438976f completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a5f71b2c8190aade8a83f465be0c completed May 3, 2026, 1:33 a.m.
PD Predicate disambiguation batch_69f69fe66df08190958558d63ee623d9 completed May 3, 2026, 1:07 a.m.
Created at: April 30, 2026, 9:09 p.m.