Triple

T24721318
Position Surface form Disambiguated ID Type / Status
Subject economy of Puerto Rico E612302 entity
Predicate laborMarketIssue P134586 FINISHED
Object brain drain 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: brain drain | Statement: [economy of Puerto Rico, laborMarketIssue, brain drain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laborMarketIssue
Context triple: [economy of Puerto Rico, laborMarketIssue, brain drain]
  • A. 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.
  • B. laborMarketEffect chosen
    Indicates the impact that an action, policy, or condition has on employment, wages, or other labor market outcomes.
  • C. sharesLaborMarketWith
    Indicates that two entities operate within the same or substantially overlapping labor market, drawing from and competing for a similar pool of workers.
  • D. laborRelationsIssue
    Indicates a relationship where there is a dispute, concern, or matter involving labor relations between workers (or their representatives) and employers.
  • E. labour
    Indicates that an entity performs work or exerts effort, typically in a productive, economic, or physical context, often for another entity or purpose.
  • 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_69e2d7d6e7a48190bb43b0d8bb1137a0 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f422aee0408190899efe7e24ef2b40 completed May 1, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69f420e92cc88190a803aecdae78a051 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 3:40 a.m.