Triple

T20331391
Position Surface form Disambiguated ID Type / Status
Subject E20 motorway E492490 entity
Predicate passesThrough P225 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: [E20 motorway, passesThrough, Limerick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limerick
Context triple: [E20 motorway, passesThrough, 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 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 (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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e7baf481909282293d78597634 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.