Triple

T13972544
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg and France E336099 entity
Predicate laborMarketLink P43644 FINISHED
Object many French residents work in Luxembourg 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: many French residents work in Luxembourg | Statement: [Luxembourg and France, laborMarketLink, many French residents work in Luxembourg]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laborMarketLink
Context triple: [Luxembourg and France, laborMarketLink, many French residents work in Luxembourg]
  • 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. sharesLaborMarketWith chosen
    Indicates that two entities operate within the same or substantially overlapping labor market, drawing from and competing for a similar pool of workers.
  • C. laborMarketRole
    Indicates the role, function, or position an entity holds within the labor market, such as its job type, employment status, or economic participation category.
  • D. laborMarketAreaFor
    Indicates that one region or location functions as the labor market area associated with another specified place or entity.
  • E. peakEmployment
    Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8eae40819080dd4bd25c73b6d6 completed April 14, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69dd465a21408190b912a42c50ffa0d9 completed April 13, 2026, 7:39 p.m.
Created at: April 9, 2026, 10:18 p.m.