Triple

T2920032
Position Surface form Disambiguated ID Type / Status
Subject T-Stoff E78696 entity
Predicate handlingRequirement P43917 FINISHED
Object required special protective clothing 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: required special protective clothing | Statement: [T-Stoff, handlingRequirement, required special protective clothing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: handlingRequirement
Context triple: [T-Stoff, handlingRequirement, required special protective clothing]
  • A. maintenanceRequirement
    Indicates that an entity is obligated to perform, schedule, or adhere to specific maintenance activities or conditions for another entity or system.
  • B. rejectedRequirement
    Indicates that a proposed requirement has been evaluated and explicitly not accepted or approved.
  • C. evaluationRequirement
    Indicates that one entity imposes or specifies conditions under which another entity must be assessed, tested, or evaluated.
  • D. communicationRequirement
    Indicates that one entity is obligated or expected to communicate with another entity under specified conditions or for a particular purpose.
  • E. handles
    Indicates that one entity is responsible for dealing with, managing, or taking care of another entity or task.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97fd89d88190bc7db4b39058ae3a completed March 8, 2026, 3:38 p.m.
PD Predicate disambiguation batch_69ad9603ddd88190b8bf91bc7517cc21 completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad97f520208190a4dc43372004555f completed March 8, 2026, 3:38 p.m.
Created at: March 8, 2026, 2:54 p.m.