Triple

T36485702
Position Surface form Disambiguated ID Type / Status
Subject Biolab E898926 entity
Predicate supportsAutomationLevel P9537 FINISHED
Object high degree of experiment automation 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: high degree of experiment automation | Statement: [Biolab, supportsAutomationLevel, high degree of experiment automation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsAutomationLevel
Context triple: [Biolab, supportsAutomationLevel, high degree of experiment automation]
  • A. canAutomate
    Indicates that one entity has the capability to perform, control, or execute another entity’s process or task automatically without continuous human intervention.
  • B. automationLevel chosen
    Indicates the degree to which a process, task, or system is performed automatically rather than manually.
  • C. supportsAt
    Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
  • D. automatedIn
    Indicates that an action, process, or operation is performed automatically within or by a specified system, context, or environment.
  • E. supportsFeature
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • 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_69f76e5ad4588190bdbce60c52fbb785 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a037a0bf4b88190bdcfae9a14b51f0a completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:10 p.m.