Triple

T15522878
Position Surface form Disambiguated ID Type / Status
Subject Russian Academic Excellence Project 5-100 E369010 entity
Predicate goalIndicator P52539 FINISHED
Object number of Russian universities in top 100 global rankings 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: number of Russian universities in top 100 global rankings | Statement: [Russian Academic Excellence Project 5-100, goalIndicator, number of Russian universities in top 100 global rankings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goalIndicator
Context triple: [Russian Academic Excellence Project 5-100, goalIndicator, number of Russian universities in top 100 global rankings]
  • A. goalIn
    Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
  • B. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • C. goalNumber chosen
    Indicates that an entity is associated with a specific target or objective quantified as a number.
  • D. goalHorizon
    Indicates the temporal or planning horizon within which a goal is intended to be pursued or achieved.
  • E. goalStage
    Indicates the specific phase or step a goal is currently in within its overall progression or lifecycle.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04143bda08190a2dee44918c1ad1c completed April 16, 2026, 1:54 a.m.
PD Predicate disambiguation batch_69ded28ab0588190a47a9090d1238707 completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 4:04 a.m.