Triple

T4438498
Position Surface form Disambiguated ID Type / Status
Subject Einstein–Szilard refrigerator E95710 entity
Predicate safetyRationale P56024 FINISHED
Object avoid use of toxic sulfur dioxide 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: avoid use of toxic sulfur dioxide | Statement: [Einstein–Szilard refrigerator, safetyRationale, avoid use of toxic sulfur dioxide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyRationale
Context triple: [Einstein–Szilard refrigerator, safetyRationale, avoid use of toxic sulfur dioxide]
  • A. safetyCategory
    Indicates the classification of something according to its level or type of safety.
  • B. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • C. safetyRelevant
    Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
  • D. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • E. safetyProfile
    Indicates the overall level and characteristics of risk or harm associated with something, typically summarizing how safe it is under specified conditions.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3558c75948190875a5fb10eac0597 completed March 13, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69b34f6078cc8190831b89f404198cc5 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b3505a87b4819083fbbd58870e520b completed March 12, 2026, 11:46 p.m.
Created at: March 12, 2026, 11:31 p.m.