Triple

T8633820
Position Surface form Disambiguated ID Type / Status
Subject VU University Medical Center E204469 entity
Predicate mergedWith P77 FINISHED
Object Academic Medical Center E204468 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: Academic Medical Center | Statement: [VU University Medical Center, mergedWith, Academic Medical Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academic Medical Center
Context triple: [VU University Medical Center, mergedWith, Academic Medical Center]
  • A. Academic Medical Center chosen
    Academic Medical Center was a major university hospital and biomedical research institution in Amsterdam affiliated with the University of Amsterdam.
  • B. Medical University
    Medical University is a metro station on the Tbilisi Metro system in Tbilisi, Georgia, serving the nearby medical university and surrounding area.
  • C. Health Research Center
    The Health Research Center is a specialized research unit of Trakya University focused on advancing medical and health sciences through interdisciplinary studies and projects.
  • D. Medical Campus
    The Medical Campus is Boston University's dedicated hub for health sciences education, research, and clinical care.
  • E. Medical Campus
    Medical Campus is the dedicated health sciences and clinical training campus of the University of Khartoum in Sudan.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4743d31881908cf9fc3838c4bdd9 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc13073c8190ad6e92b8f7161739 completed April 2, 2026, 6:57 p.m.
Created at: March 30, 2026, 6:27 p.m.