Triple

T8014208
Position Surface form Disambiguated ID Type / Status
Subject Engelmann spruce E186569 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: [Engelmann spruce, order, Pinales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinales
Context triple: [Engelmann spruce, 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. Palo
    Palo is a coastal municipality in the province of Leyte in the Philippines, historically significant as one of the main landing sites of General Douglas MacArthur during the liberation of the country in World War II.
  • C. Chula
    Chula is Thailand’s oldest and one of its most prestigious universities, renowned for its academic excellence and central role in the country’s higher education system.
  • D. Acamas
    Acamas is a figure in Greek mythology, traditionally known as a son of the Athenian hero Theseus who took part in events surrounding the Trojan War.
  • E. Guayota
    Guayota is a malevolent deity from Guanche mythology, often depicted as a demon or god of darkness associated with the volcano Teide on Tenerife.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df0f4bc8190ae87586972018085 completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56b4608081909c546d56129d1164 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:19 p.m.