Triple

T11436772
Position Surface form Disambiguated ID Type / Status
Subject Torreya E271027 entity
Predicate hasChemicalDefense P59761 FINISHED
Object toxic compounds in leaves and seeds 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: toxic compounds in leaves and seeds | Statement: [Torreya, hasChemicalDefense, toxic compounds in leaves and seeds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasChemicalDefense
Context triple: [Torreya, hasChemicalDefense, toxic compounds in leaves and seeds]
  • A. hasBaseDefense
    Indicates that an entity possesses a specified level or value of defensive capability in its default or starting state.
  • B. hasDefenseStrategy chosen
    Indicates that an entity employs or is associated with a particular plan or set of measures designed to protect against threats or attacks.
  • C. isResistant
    Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
  • D. defensiveCapability
    Indicates the ability or capacity of an entity to protect itself or others against threats, attacks, or harm.
  • E. canBeDefendedIn
    Indicates that something (such as a claim, action, or position) is capable of being justified or supported within a specified context, forum, or framework.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69d7e71436f88190ac7e45a04ea5c987 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:35 p.m.