Triple

T225758
Position Surface form Disambiguated ID Type / Status
Subject ETH Zurich E4310 entity
Predicate admissionsPolicy P58 FINISHED
Object selective 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: selective | Statement: [ETH Zurich, admissionsPolicy, selective]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: admissionsPolicy
Context triple: [ETH Zurich, admissionsPolicy, selective]
  • A. admissionPolicy chosen
    Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
  • B. recruitmentPolicy
    Indicates the rules, criteria, and procedures an organization follows when attracting, selecting, and hiring candidates.
  • C. hasCommonFinancialAidPolicy
    Indicates that two or more entities share the same rules, criteria, or framework governing financial aid policies.
  • D. typicalAdmissionSelectivity
    Indicates the usual level of competitiveness or restrictiveness in admitting applicants to an institution or program.
  • E. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25dec53ac8190912f3d79576131fa completed Feb. 28, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a25b5739dc8190bad8bfa330ce0499 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.