Triple

T36463745
Position Surface form Disambiguated ID Type / Status
Subject Takifugu rubripes E898369 entity
Predicate requiresLicensedPreparation P201383 FINISHED
Object true 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: true | Statement: [Takifugu rubripes, requiresLicensedPreparation, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresLicensedPreparation
Context triple: [Takifugu rubripes, requiresLicensedPreparation, true]
  • A. requiresLicenseOf
    Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
  • B. requiresLicenseFrom
    Indicates that one entity must obtain formal permission or authorization from another entity before performing a specific activity or operation.
  • C. requiresLicenseForPractice
    Indicates that engaging in the specified professional practice is legally contingent upon holding a valid license.
  • D. licenceRequiredFor
    Indicates that a specific license is legally or formally required in order to perform, use, access, or operate the related entity or activity.
  • E. hasLicensing
    Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
  • F. None of above. chosen

Provenance (4 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_69f76e58ebd88190b75d9b169b59d793 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69ffef812da48190b875a7376b24f92d completed May 10, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69ffedecd580819097851b1473fdd6ed completed May 10, 2026, 2:31 a.m.
PDg Predicate description generation batch_69ffef8003c081909ec2413b4ea08d43 completed May 10, 2026, 2:37 a.m.
Created at: May 3, 2026, 4:10 p.m.