Triple

T2302813
Position Surface form Disambiguated ID Type / Status
Subject Dublin Region E51769 entity
Predicate partOf P40 FINISHED
Object province of Leinster E51255 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: province of Leinster | Statement: [Dublin Region, partOf, province of Leinster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: province of Leinster
Context triple: [Dublin Region, partOf, province of Leinster]
  • A. Leinster chosen
    Leinster is a province in eastern Ireland that includes the capital city, Dublin, and is the country’s most populous region.
  • B. Dublin Region
    Dublin Region is an administrative and statistical area in eastern Ireland that encompasses the city of Dublin and its surrounding suburban counties.
  • C. County Westmeath
    County Westmeath is a landlocked county in Ireland’s Midlands region, known for its lakes, historic towns like Mullingar and Athlone, and rich agricultural landscape.
  • D. County Wexford
    County Wexford is a county in southeastern Ireland known for its rich Norman heritage, coastal landscapes, and distinctive historical dialects.
  • E. County Kildare
    County Kildare is an inland county in eastern Ireland known for its horse racing industry, rich agricultural land, and proximity to Dublin.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5f101dc8190824346e6ae564e51 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f332e788190b1dd4b8b0bbfe5d7 completed March 9, 2026, 8:05 a.m.
Created at: March 4, 2026, 7:49 p.m.