Triple

T1539836
Position Surface form Disambiguated ID Type / Status
Subject Louisiana E32838 entity
Predicate stateFlower P331 FINISHED
Object Magnolia E79157 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: Magnolia | Statement: [Louisiana, stateFlower, Magnolia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magnolia
Context triple: [Louisiana, stateFlower, Magnolia]
  • A. Magnolia chosen
    Magnolia is a genus of flowering trees and shrubs known for their large, fragrant blossoms and broad, glossy leaves, widely associated with the American South.
  • B. Camellia
    Camellia is a genus of evergreen flowering shrubs and trees known for their showy, rose-like blooms and glossy leaves, widely cultivated as ornamental plants.
  • C. Trillium
    Trillium is a white three-petaled wildflower native to Ontario and widely recognized as a provincial emblem and symbol of the region.
  • D. Franklin Tree
    Franklin Tree is a notable giant sequoia located in the Giant Forest of California’s Sequoia National Park.
  • E. Hawthorn
    Hawthorn is an inner suburb of Melbourne, Australia, known for its historic architecture, leafy streets, and proximity to major educational institutions.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9083c942481909168394b6674d82b completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30997d408190916f16d31bcc35b4 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.