Triple

T17126579
Position Surface form Disambiguated ID Type / Status
Subject Belgium and the Netherlands E415611 entity
Predicate shareLaborMarketFeature P43644 FINISHED
Object cross-border commuting 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: cross-border commuting | Statement: [Belgium and the Netherlands, shareLaborMarketFeature, cross-border commuting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shareLaborMarketFeature
Context triple: [Belgium and the Netherlands, shareLaborMarketFeature, cross-border commuting]
  • A. 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.
  • B. 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.
  • C. peakEmployment
    Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
  • D. laborForceCharacteristic
    Indicates a relationship where an entity is described or classified by a specific attribute or status related to its participation in the labor force.
  • E. laborMarketAreaFor
    Indicates that one region or location functions as the labor market area associated with another specified place or entity.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f027a3d081908fc1134b50db3d45 completed April 18, 2026, 8:57 p.m.
PD Predicate disambiguation batch_69e3830192ac819091344a9e5a36c8c9 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:36 a.m.