Triple

T1596938
Position Surface form Disambiguated ID Type / Status
Subject Immigrant City E34303 entity
Predicate associatedEthnicGroups P12220 FINISHED
Object Irish immigrants 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: Irish immigrants | Statement: [Immigrant City, associatedEthnicGroups, Irish immigrants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedEthnicGroups
Context triple: [Immigrant City, associatedEthnicGroups, Irish immigrants]
  • A. relatedEthnicGroup
    Indicates that there is a notable ethnic connection or association between two ethnic groups, such as shared ancestry, culture, or historical ties.
  • B. involvedEthnicGroup chosen
    Indicates that a particular ethnic group participates in, is affected by, or is otherwise associated with the referenced event, situation, or entity.
  • C. otherEthnicGroup
    Indicates that one entity belongs to a different ethnic group than the other entity.
  • D. affectedEthnicGroup
    Indicates that a particular ethnic group is impacted or influenced by an event, condition, policy, or action.
  • E. ethnicGroupResearched
    Indicates that a particular ethnic group is the subject or focus of a research activity or study conducted by an 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a916d413f08190a4e137e5ed262e25 completed March 5, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69a907bfb39c8190a31e0be14d3d52e6 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:27 p.m.