Triple

T22423047
Position Surface form Disambiguated ID Type / Status
Subject Erdős number concept E554296 entity
Predicate usesRelation P33476 FINISHED
Object coauthorship of research papers 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: coauthorship of research papers | Statement: [Erdős number concept, usesRelation, coauthorship of research papers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesRelation
Context triple: [Erdős number concept, usesRelation, coauthorship of research papers]
  • A. hasRelation chosen
    Indicates that there exists some specified relationship or association between two entities.
  • B. allyRelation
    Indicates a cooperative, supportive relationship in which the entities act as allies toward shared or aligned goals.
  • C. subjectRelation
    Indicates that one entity stands in a specified relational role or connection to another entity.
  • D. laterRelationWith
    Indicates that one entity stands in a temporal relationship to another such that it occurs or exists at a later time than the other.
  • E. testsRelation
    Indicates a relationship where one entity evaluates, examines, or verifies another entity, typically to assess its properties, behavior, or correctness.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2af620819083338127e78137dc completed April 29, 2026, 1:08 a.m.
PD Predicate disambiguation batch_69e8989495bc81909d2699fce5992e28 completed April 22, 2026, 9:44 a.m.
Created at: April 16, 2026, 8:47 p.m.