Triple

T4040729
Position Surface form Disambiguated ID Type / Status
Subject Concord, North Carolina E83938 entity
Predicate sisterCity P1072 FINISHED
Object Killarney, Ireland E156995 NE 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: Killarney, Ireland | Statement: [Concord, North Carolina, sisterCity, Killarney, Ireland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Killarney, Ireland
Context triple: [Concord, North Carolina, sisterCity, Killarney, Ireland]
  • A. Killarney chosen
    Killarney is a small Canadian community in Ontario known as a gateway to Georgian Bay and Killarney Provincial Park, popular for boating, hiking, and wilderness tourism.
  • B. Waterford
    Waterford is a small town and village in eastern New York State, known as the eastern terminus of the Erie Canal and its historic canal locks.
  • C. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • D. Waterford
    Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
  • E. Castleknock, Dublin, Ireland
    Castleknock, Dublin, Ireland is a suburban residential area on the western edge of Dublin known for its affluent neighborhoods and proximity to Phoenix Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb39400881909d0f5430f04e441c completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55649b75c819086b272f56ac73be4 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.