Triple

T2616990
Position Surface form Disambiguated ID Type / Status
Subject VU E58912 entity
Predicate hasFaculty P141 FINISHED
Object Faculty of Medicine unclear NED1 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: Faculty of Medicine | Statement: [VU, hasFaculty, Faculty of Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine
Context triple: [VU, hasFaculty, Faculty of Medicine]
  • A. Faculty of Medicine
    The Faculty of Medicine at the University of Chile is a leading Chilean institution for medical education, research, and healthcare training.
  • B. Faculty of Medicine
    The Faculty of Medicine at Kyoto University is a leading Japanese medical school and research institution known for its contributions to clinical medicine, biomedical research, and medical education.
  • C. Faculty of Medicine
    The Faculty of Medicine at the University of Zurich is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
  • D. Faculty of Medicine
    The Faculty of Medicine is the medical school of the Pontifical Xavierian University in Colombia, offering professional training and research in the health sciences.
  • E. Faculty of Medicine
    The Faculty of Medicine is the medical school division responsible for training physicians and conducting biomedical research at the University of Frankfurt (Oder).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd89325308190985598373eb0d296 completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9088d23c81908927eba84556f90c completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.