Triple

T1343477
Position Surface form Disambiguated ID Type / Status
Subject Aviva Stadium E28516 entity
Predicate region P40 FINISHED
Object 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: Leinster | Statement: [Aviva Stadium, region, Leinster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leinster
Context triple: [Aviva Stadium, region, 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. Connacht
    Connacht is one of the four traditional provinces of Ireland, located in the west of the island and historically known for its Gaelic culture and rugged landscapes.
  • C. Munster
    Munster is a historic province in the south of Ireland, known for its major role in Irish history, culture, and conflicts, including the 17th-century wars.
  • D. Ulster
    Ulster is a historic province in the north of Ireland, encompassing parts of both Northern Ireland and the Republic of Ireland, known for its distinct cultural and political identity.
  • E. Dublin Region
    Dublin Region is an administrative and statistical area in eastern Ireland that encompasses the city of Dublin and its surrounding suburban counties.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23b8a9081908b78405d4ef806af completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce68225081909d995cd7ae5f2224 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:56 p.m.