Triple

T22423148
Position Surface form Disambiguated ID Type / Status
Subject Erdős–Ko–Rado theorem E554298 entity
Predicate maximumAttainedBy P125538 FINISHED
Object family of all k-subsets containing a fixed element 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: family of all k-subsets containing a fixed element | Statement: [Erdős–Ko–Rado theorem, maximumAttainedBy, family of all k-subsets containing a fixed element]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maximumAttainedBy
Context triple: [Erdős–Ko–Rado theorem, maximumAttainedBy, family of all k-subsets containing a fixed element]
  • A. maximumNumber
    Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
  • B. maximumFrequency
    Indicates the highest number of times a particular event, value, or occurrence appears within a given set or context.
  • C. identifiesMaximumWith chosen
    Indicates that one entity designates or associates another entity as having the greatest value, degree, or extent within a specified set or context.
  • D. maximumCeiling
    Indicates the highest allowable or achievable limit or value that something cannot exceed.
  • E. maximumMoundHeight
    Indicates the greatest allowable or observed height of a mound relative to a specified reference or context.
  • 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.