Triple

T34360599
Position Surface form Disambiguated ID Type / Status
Subject Soyuz 18 E881860 entity
Predicate crewSafetyResult P20707 FINISHED
Object no fatalities 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: no fatalities | Statement: [Soyuz 18, crewSafetyResult, no fatalities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: crewSafetyResult
Context triple: [Soyuz 18, crewSafetyResult, no fatalities]
  • A. safetyResponse
    Indicates how an entity reacts or what measures it takes in response to a potential or actual safety-related situation.
  • B. safetyOutcome
    Indicates the resulting condition or consequence related to safety that arises from an action, event, or situation.
  • C. crewOutcome chosen
    Indicates the result or status experienced by a crew as a consequence of an event, action, or condition.
  • D. safetyCategory
    Indicates the classification of something according to its level or type of safety.
  • E. safetyRequirement
    Indicates that one entity specifies or imposes conditions, standards, or measures necessary to ensure the safety of another entity or activity.
  • 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_69f349be5c9c81908dc726ae1f4c68f2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71c35327c8190884f1bfe12bd2cd7 completed May 3, 2026, 9:58 a.m.
PD Predicate disambiguation batch_69f71822d0e88190ac9731c7ae5a4def completed May 3, 2026, 9:40 a.m.
Created at: May 1, 2026, 1:58 a.m.