Triple

T16715064
Position Surface form Disambiguated ID Type / Status
Subject LSMU E406202 entity
Predicate hasCampus P116 FINISHED
Object Kaunas campus E406198 NE 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: Kaunas campus | Statement: [LSMU, hasCampus, Kaunas campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaunas campus
Context triple: [LSMU, hasCampus, Kaunas campus]
  • A. Kaunas campus
    Kaunas campus is a regional branch of Vilnius University located in Lithuania’s second-largest city, offering a range of academic programs and research activities.
  • B. Kaunas campus chosen
    Kaunas campus is a primary academic and clinical hub of the Lithuanian University of Health Sciences located in the city of Kaunas, Lithuania.
  • C. Saulėtekis campus
    Saulėtekis campus is a major academic complex of Vilnius University in Vilnius, Lithuania, known for housing several faculties, modern facilities, and student residences.
  • D. Klaipėda University
    Klaipėda University is a public higher education institution in the Lithuanian port city of Klaipėda, known for its programs in marine sciences, engineering, and the humanities.
  • E. Mykolas Romeris University
    Mykolas Romeris University is a public university in Vilnius, Lithuania, known for its focus on social sciences, law, public administration, and related fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38654ee4c8190abf36c29d6610a96 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d3adef081908692a4a86d7a0779 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.