Triple

T343475
Position Surface form Disambiguated ID Type / Status
Subject Pinaceae E6887 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: [Pinaceae, order, Pinales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinales
Context triple: [Pinaceae, 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. Quivicán
    Quivicán is a municipality in western Cuba known for its agricultural activities and location within the province surrounding Havana.
  • C. 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.
  • D. 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.
  • E. Sonora
    Sonora is a small historic city in California’s Sierra Nevada foothills known for its Gold Rush heritage and role as a regional hub for tourism and outdoor recreation.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb0019088190a9b969c4287dc4fa completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3f4d6e29c8190993b8a9ec87d3a8b completed March 1, 2026, 8:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.