Triple

T19129841
Position Surface form Disambiguated ID Type / Status
Subject Japan achieved income doubling ahead of schedule E468285 entity
Predicate achievementTiming P134521 FINISHED
Object ahead of schedule 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: ahead of schedule | Statement: [Japan achieved income doubling ahead of schedule, achievementTiming, ahead of schedule]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: achievementTiming
Context triple: [Japan achieved income doubling ahead of schedule, achievementTiming, ahead of schedule]
  • A. achievementScope
    Indicates the extent or domain within which an achievement is recognized, measured, or considered valid.
  • B. achievementStatus
    Indicates the current state or level of completion of an achievement-related goal or milestone for an entity.
  • C. achievementDefinition
    Indicates that one entity specifies or defines the criteria, properties, or structure of an achievement associated with another entity.
  • D. achievementLevel
    Indicates the degree or extent to which an entity has attained a particular goal, standard, or performance outcome.
  • E. achievedOn
    Indicates that a particular result, milestone, or state was successfully reached or completed at a specific time or date.
  • F. None of above. chosen

Provenance (4 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3e8c49481908b6be87af54d12cf completed April 20, 2026, 8:29 a.m.
PD Predicate disambiguation batch_69e4b9b085288190b974d649e12e0844 completed April 19, 2026, 11:17 a.m.
PDg Predicate description generation batch_69e4bfe8a06081909fd5c28a33e9f218 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 12:05 p.m.