Triple

T1664966
Position Surface form Disambiguated ID Type / Status
Subject Slovak American E35989 entity
Predicate significantImmigrationCause P14735 FINISHED
Object industrial employment in the United States 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: industrial employment in the United States | Statement: [Slovak American, significantImmigrationCause, industrial employment in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: significantImmigrationCause
Context triple: [Slovak American, significantImmigrationCause, industrial employment in the United States]
  • A. immigrationBackground
    Indicates that an entity has a personal or familial history of migration from another country or region.
  • B. majorImmigrationPeriod
    Indicates that a time interval represents a significant period during which substantial immigration occurred.
  • C. attractedImmigrantsFrom chosen
    Indicates that a place or entity drew or pulled immigrants originating from another place.
  • D. immigrationPolicyFocus
    Indicates a relationship where an immigration policy is primarily directed toward or emphasizes a particular issue, group, or aspect of immigration.
  • E. immigrantPopulationShare
    Indicates the proportion of a total population that is made up of immigrants.
  • 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_69a88606aa808190aa0b421b4271f220 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa994f92b0819084ee2f6a672334b9 completed March 6, 2026, 9:07 a.m.
PD Predicate disambiguation batch_69a907d2475c8190b7ec7dccd3335eb1 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:29 p.m.