Triple

T21295709
Position Surface form Disambiguated ID Type / Status
Subject University of Salerno E524914 entity
Predicate memberOf P10 FINISHED
Object CRUI NE NERFINISHED

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: CRUI | Statement: [University of Salerno, memberOf, CRUI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CRUI
Context triple: [University of Salerno, memberOf, CRUI]
  • A. CRUI chosen
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • B. CRUE
    CRUE is the main association representing Spanish universities, coordinating and promoting their interests in higher education and research.
  • C. CRI
    CRI is the three-letter ISO 3166-1 alpha-3 country code assigned to Costa Rica.
  • D. CRI
    CRI is a Kubernetes plugin interface that standardizes how container runtimes integrate with the Kubernetes kubelet to manage containers and pods.
  • E. CRI
    CRI is the National Rail station code for Cricklewood railway station in north-west London, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385858ec8190bdc9c5cdcb8d4507 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:04 p.m.