Triple

T18864568
Position Surface form Disambiguated ID Type / Status
Subject Corktown E461402 entity
Predicate namedAfter P63 FINISHED
Object Cork, Ireland 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: Cork, Ireland | Statement: [Corktown, namedAfter, Cork, Ireland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cork, Ireland
Context triple: [Corktown, namedAfter, Cork, Ireland]
  • A. Cork, Ireland chosen
    Cork, Ireland is a historic port city in the southwest of Ireland known for its vibrant cultural scene, university life, and role as a major economic and maritime hub.
  • B. Waterford, Ireland
    Waterford, Ireland is a historic port city in the southeast of the country, renowned as Ireland’s oldest city and famous for its Viking heritage and Waterford Crystal.
  • C. Portarlington, Ireland
    Portarlington, Ireland is a historic town in County Laois known for its Huguenot heritage and location on the River Barrow.
  • D. Clare, Ireland
    Clare, Ireland is a historic market town in County Clare known for its traditional Irish culture and proximity to the River Fergus in western Ireland.
  • E. Kildare, Ireland
    Kildare, Ireland is a historic town in County Kildare known for its early Christian heritage, horse racing tradition, and proximity to Dublin.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c2a3e9a48190a4d44728635ac368 completed April 20, 2026, 6:07 a.m.
Created at: April 10, 2026, 11:57 a.m.