Triple

T6837891
Position Surface form Disambiguated ID Type / Status
Subject Rocco Baldelli E157494 entity
Predicate reasonForEarlyRetirement P10984 FINISHED
Object recurring injuries and fatigue related to metabolic condition 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: recurring injuries and fatigue related to metabolic condition | Statement: [Rocco Baldelli, reasonForEarlyRetirement, recurring injuries and fatigue related to metabolic condition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForEarlyRetirement
Context triple: [Rocco Baldelli, reasonForEarlyRetirement, recurring injuries and fatigue related to metabolic condition]
  • A. causeOfEarlyRetirement chosen
    Indicates that one entity is the reason or contributing factor leading another entity to retire earlier than the typical or expected time.
  • B. reasonForLeaving
    Indicates the cause, motivation, or circumstance that led an entity to depart or discontinue an association, position, or place.
  • C. retirementDate
    Indicates the date on which an entity stops its active role or service, typically marking the end of its professional or operational period.
  • D. forcedToRetire
    Indicates that an entity was compelled, rather than choosing voluntarily, to end their professional role or career.
  • E. retirementPeriod
    Indicates the time span during which an entity is considered to be retired or in retirement status.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67db4008190b86b497bf6f0c73a completed March 27, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69c6d09f90648190bc0a462c7d59de1b completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:19 p.m.