Triple

T4788570
Position Surface form Disambiguated ID Type / Status
Subject Galway, New York E106544 entity
Predicate namedAfter P63 FINISHED
Object Galway, Ireland E312527 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: Galway, Ireland | Statement: [Galway, New York, namedAfter, Galway, Ireland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galway, Ireland
Context triple: [Galway, New York, namedAfter, Galway, Ireland]
  • A. Galway
    Galway is a small rural town in Saratoga County, New York, known for its scenic countryside and close-knit community.
  • B. Galway chosen
    Galway is a vibrant coastal city in western Ireland known for its rich cultural heritage, lively arts and music scene, and historic medieval streets.
  • C. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • D. 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.
  • E. Waterford
    Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65db847081908f5456724a2bdc65 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5c9b1a348190809c1af686b7101a completed March 21, 2026, 8:53 a.m.
Created at: March 20, 2026, 1:22 p.m.