Triple

T358838
Position Surface form Disambiguated ID Type / Status
Subject University of Edinburgh Medical School E7802 entity
Predicate hasRankingCategory P12314 FINISHED
Object global medical school rankings 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: global medical school rankings | Statement: [University of Edinburgh Medical School, hasRankingCategory, global medical school rankings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRankingCategory
Context triple: [University of Edinburgh Medical School, hasRankingCategory, global medical school rankings]
  • A. selectionRankingEndPoint
    Indicates the position or boundary in an ordered list at which a selection or ranking process concludes.
  • B. rankedAs
    Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
  • C. rankedBy
    Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another entity.
  • D. rankingBasis
    Indicates the criterion or standard used to determine the order or rank of entities in a ranking.
  • E. rankingMember
    Indicates that one entity is the highest-ranking or most senior member within a particular group, committee, or organization relative to the others.
  • F. None of above. chosen

Provenance (4 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebb248608190b060553219616043 completed Feb. 28, 2026, 1:20 p.m.
PD Predicate disambiguation batch_69a2e95aeed48190b5e48865cc964938 completed Feb. 28, 2026, 1:10 p.m.
PDg Predicate description generation batch_69a2ea2c44408190946267525c88e811 completed Feb. 28, 2026, 1:14 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.