Triple

T28467068
Position Surface form Disambiguated ID Type / Status
Subject Siberian State Automobile and Highway University E720319 entity
Predicate educationalProfile P45956 FINISHED
Object transport and road construction 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: transport and road construction | Statement: [Siberian State Automobile and Highway University, educationalProfile, transport and road construction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationalProfile
Context triple: [Siberian State Automobile and Highway University, educationalProfile, transport and road construction]
  • A. hasEducationalProfile chosen
    Indicates that an entity is associated with a specific educational profile, detailing its education-related characteristics, qualifications, or academic background.
  • B. academicProfile
    Indicates the relationship that captures an entity’s academic background, qualifications, and scholarly activities or achievements.
  • C. educationalRoleSince
    Indicates the point in time since which an entity has held a particular educational role or position in relation to another entity.
  • D. hasEducationalRole
    Indicates that an entity holds a specific function, position, or responsibility within an educational context or setting.
  • E. educationalField
    Indicates the academic or disciplinary area in which an educational activity, program, or qualification is focused.
  • 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_69f01a58a67c819097936d9e8da8d6e6 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f69383222c81909d8baa04129d5c81 completed May 3, 2026, 12:14 a.m.
PD Predicate disambiguation batch_69f690eb1e948190aab41a89969519a5 completed May 3, 2026, 12:03 a.m.
Created at: April 28, 2026, 2:45 a.m.