Triple

T3770698
Position Surface form Disambiguated ID Type / Status
Subject Semper Augustus E82789 entity
Predicate causeOfPattern P708 FINISHED
Object tulip breaking virus LITERAL 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: tulip breaking virus | Statement: [Semper Augustus, causeOfPattern, tulip breaking virus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfPattern
Context triple: [Semper Augustus, causeOfPattern, tulip breaking virus]
  • A. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • B. causeSupported
    Indicates that an entity provides backing, endorsement, or assistance to a particular cause or initiative.
  • C. factPattern
    Indicates that a specific configuration of facts or circumstances holds in a situation, typically used as the basis for applying rules, reasoning, or legal/logic inferences.
  • D. hasCause chosen
    Indicates that one entity is the reason for, or brings about, the occurrence or existence of another entity or event.
  • E. pattern
    Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
  • F. None of above.

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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc307cf8819090730b5e697bb197 completed March 8, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69adc04ec36c8190bd5b944d4f4d32aa completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:36 p.m.