Triple

T1176174
Position Surface form Disambiguated ID Type / Status
Subject Bristlecone pine E25030 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: [Bristlecone pine, order, Pinales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinales
Context triple: [Bristlecone 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. Palo Cedro
    Palo Cedro is a small unincorporated community in Northern California known for its rural character and proximity to the city of Redding.
  • D. Dos Ríos
    Dos Ríos is a rural locality in eastern Cuba historically known as the site where Cuban national hero José Martí was killed in battle during the War of Independence.
  • E. Mesa del Norte
    Mesa del Norte is a high, arid plateau region in northern Mexico that forms part of the country’s broader Mexican Plateau.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd0d5c288190b597dae0fbe3b43b completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf15b1e08190a9c75bc7bc467197 completed March 8, 2026, 12:13 a.m.
Created at: March 1, 2026, 7:45 p.m.