Triple

T12029398
Position Surface form Disambiguated ID Type / Status
Subject 1990s U.S. economic expansion E286360 entity
Predicate peakUnemploymentRateApprox P4799 FINISHED
Object around 7.8 percent in 1992 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: around 7.8 percent in 1992 | Statement: [1990s U.S. economic expansion, peakUnemploymentRateApprox, around 7.8 percent in 1992]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: peakUnemploymentRateApprox
Context triple: [1990s U.S. economic expansion, peakUnemploymentRateApprox, around 7.8 percent in 1992]
  • A. unemploymentPeak chosen
    Indicates that the level of unemployment has reached its highest point within a specified time period or context.
  • B. unemploymentSupplementAmountPerWeekUSD
    Indicates the amount of money in U.S. dollars that is provided each week as an unemployment benefit supplement.
  • C. peakEmployment
    Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
  • D. viewOnUnemployment
    Indicates a stance, opinion, or perspective that an entity holds regarding unemployment.
  • E. laborMarket
    Indicates the relationship between workers seeking jobs and employers offering positions, including how wages, employment levels, and working conditions are determined through their interaction.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902b6ebbc8190b13c44a61c6f81b9 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.