Triple

T608113
Position Surface form Disambiguated ID Type / Status
Subject Gairdner Foundation International Award E12036 entity
Predicate recognitionLevel P987 FINISHED
Object international 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: international | Statement: [Gairdner Foundation International Award, recognitionLevel, international]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: recognitionLevel
Context triple: [Gairdner Foundation International Award, recognitionLevel, international]
  • A. classificationLevel
    Indicates the degree or tier within an ordered system or hierarchy to which something is assigned for categorization or control purposes.
  • B. recognizedFor
    Indicates that one entity is acknowledged, credited, or honored for a particular achievement, quality, contribution, or work associated with another entity.
  • C. formOfRecognition chosen
    Indicates a relationship where one entity serves as an official acknowledgment, honor, or validation granted to another entity.
  • D. representedLevel
    Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
  • E. recognizedRight
    Indicates that an agent formally acknowledges and accepts that another party possesses a specific right or entitlement.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df34abc8190a578c8c2ab3d28e4 completed March 1, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69a49cf8fc1c81908a9c7df552aa1a59 completed March 1, 2026, 8:09 p.m.
Created at: March 1, 2026, 7:35 p.m.