Triple

T21185475
Position Surface form Disambiguated ID Type / Status
Subject Thomond E522067 entity
Predicate capital P234 FINISHED
Object Limerick 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: Limerick | Statement: [Thomond, capital, Limerick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limerick
Context triple: [Thomond, capital, Limerick]
  • A. Limerick
    Limerick is a historic city in western Ireland known for its medieval architecture, riverside setting on the River Shannon, and rich cultural and literary heritage.
  • B. Limerick City chosen
    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.
  • 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 small borough in Erie County, Pennsylvania, known for its historic architecture and role in the early development of the region.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73021671c8190a7b464ece7dbaadd completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:06 p.m.