Triple

T1494031
Position Surface form Disambiguated ID Type / Status
Subject Major League Baseball Players Benefit Plan E29645 entity
Predicate eligibilityDependsOn P1130 FINISHED
Object Major League service time 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: Major League service time | Statement: [Major League Baseball Players Benefit Plan, eligibilityDependsOn, Major League service time]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibilityDependsOn
Context triple: [Major League Baseball Players Benefit Plan, eligibilityDependsOn, Major League service time]
  • A. eligibility
    Indicates that an entity meets the required conditions or qualifications to participate in, receive, or perform something.
  • B. eligibilityContext
    Indicates the situational or conditional factors under which an entity qualifies for or is considered eligible for something.
  • C. eligibilityLevel
    Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
  • D. eligibilityCriteria chosen
    Indicates the conditions or requirements that must be satisfied for an entity to qualify for or be considered eligible for something.
  • E. eligibilityCategory
    Indicates the classification or type of eligibility that applies to an entity within a given 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6c665488190ae665f7a1b0563f5 completed March 1, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69a4c48902808190a8028d359bcf123e completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:12 p.m.