Triple

T71520
Position Surface form Disambiguated ID Type / Status
Subject Douglas fir E1430 entity
Predicate commercialImportance P2313 FINISHED
Object one of the most important commercial softwoods in North America 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: one of the most important commercial softwoods in North America | Statement: [Douglas fir, commercialImportance, one of the most important commercial softwoods in North America]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commercialImportance
Context triple: [Douglas fir, commercialImportance, one of the most important commercial softwoods in North America]
  • A. commercialized
    Indicates that something has been developed, marketed, or exploited for profit in a commercial context.
  • B. isImportantFor
    Indicates that something holds significant value, relevance, or necessity in relation to something else.
  • C. majorExport
    Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
  • D. usedInInternationalTrade
    Indicates that something participates as a good, service, or instrument in commercial exchanges between different countries.
  • E. economicAspect chosen
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • 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_69a24c06b3bc8190aa4ac89026115efc completed Feb. 28, 2026, 1:59 a.m.
NER Named-entity recognition batch_69a24f6997c081908b202f937eb2b14f completed Feb. 28, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69a24eab7f408190a8275cb82474f575 completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:03 a.m.