Triple

T77756
Position Surface form Disambiguated ID Type / Status
Subject Nobel Prize in Physiology or Medicine E1554 entity
Predicate hasPrestigeLevel P337 FINISHED
Object one of the most prestigious awards in medicine 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: one of the most prestigious awards in medicine | Statement: [Nobel Prize in Physiology or Medicine, hasPrestigeLevel, one of the most prestigious awards in medicine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrestigeLevel
Context triple: [Nobel Prize in Physiology or Medicine, hasPrestigeLevel, one of the most prestigious awards in medicine]
  • A. honorLevel chosen
    Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
  • B. hasLevel
    Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
  • C. hasIconicStatus
    Indicates that an entity holds a widely recognized, emblematic, or culturally significant status within a particular domain or context.
  • D. honorificRank
    Indicates that one entity holds a formal title or honorific status in relation to another entity.
  • E. hasHonorificPrefix
    Indicates that one entity is used as an honorific title or prefix attached to another entity’s name.
  • F. None of above.

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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2559892dc81909303f2eefdc0025f completed Feb. 28, 2026, 2:40 a.m.
PD Predicate disambiguation batch_69a24eaf99e481908e8d314577e22ecf completed Feb. 28, 2026, 2:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.