Triple

T19109264
Position Surface form Disambiguated ID Type / Status
Subject St Canice's Cathedral E467742 entity
Predicate hasViewOf P854 FINISHED
Object Kilkenny city NE NERFINISHED

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: Kilkenny city | Statement: [St Canice's Cathedral, hasViewOf, Kilkenny city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kilkenny city
Context triple: [St Canice's Cathedral, hasViewOf, Kilkenny city]
  • A. Kilkenny
    Kilkenny is a residential suburb in the western metropolitan area of Adelaide, South Australia.
  • B. Kilkenny chosen
    Kilkenny is a historic city in southeastern Ireland known for its well-preserved medieval architecture, including Kilkenny Castle and St. Canice's Cathedral.
  • C. Limerick City
    Limerick City is a historic city in western Ireland, known for its medieval architecture, strategic location on the River Shannon, and role in key events of Irish history.
  • D. Carlow
    Carlow is a town in southeast Ireland known as a regional commercial center with historical sites and educational institutions.
  • E. Cahir
    Cahir is a historic town in County Tipperary, Ireland, best known for its well-preserved medieval castle on the River Suir.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e392ef488190a230b1d2890b2a9d completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.