Triple

T399071
Position Surface form Disambiguated ID Type / Status
Subject Ponderosa pine E9238 entity
Predicate order P568 FINISHED
Object Pinales E8183 NE 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: Pinales | Statement: [Ponderosa pine, order, Pinales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinales
Context triple: [Ponderosa pine, order, Pinales]
  • A. Pinales chosen
    Pinales is the botanical order of coniferous trees and shrubs that includes pines, firs, spruces, and related needle-leaved, cone-bearing plants.
  • B. Madera
    Madera is a city in California’s San Joaquin Valley known primarily as the administrative and economic center of Madera County.
  • C. Quivicán
    Quivicán is a municipality in western Cuba known for its agricultural activities and location within the province surrounding Havana.
  • D. Salinas
    Salinas is a prominent agricultural city in Northern California, often called the "Salad Bowl of the World" and known as the birthplace of author John Steinbeck.
  • E. Sonora
    Sonora is a large northwestern Mexican state bordering the United States, known for its desert landscapes, cattle ranching, and significant industrial and agricultural production.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8d0ca881909d786e8eed9b6748 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4254075388190af8fd09d037f427c completed March 1, 2026, 11:38 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.