Triple

T5718757
Position Surface form Disambiguated ID Type / Status
Subject University of Bologna E126086 entity
Predicate reputedAs P38276 FINISHED
Object one of the world’s oldest universities 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: one of the world’s oldest universities | Statement: [University of Bologna, reputedAs, one of the world’s oldest universities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reputedAs
Context triple: [University of Bologna, reputedAs, one of the world’s oldest universities]
  • A. reputationBuiltFor
    Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
  • B. hasReputationAmong
    Indicates that an entity is regarded or perceived in a particular way by a specified group or audience.
  • C. respectedAs
    Indicates that one entity regards another with esteem or honor, recognizing their value, status, or authority.
  • D. hasNotableReputation chosen
    Indicates that an entity is widely recognized or distinguished for a particular quality, achievement, or characteristic.
  • E. associatedWithReputation
    Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029014588819094a2a0f6f9b66bab completed March 22, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69c021c47f4c81909e6849c3be3e951c completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:46 p.m.