Triple

T2123921
Position Surface form Disambiguated ID Type / Status
Subject Cherbourg E43987 entity
Predicate connectsByFerryTo P1831 FINISHED
Object Cork E78307 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: Cork | Statement: [Cherbourg, connectsByFerryTo, Cork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cork
Context triple: [Cherbourg, connectsByFerryTo, Cork]
  • A. Cork city chosen
    Cork city is a major port and the second-largest city in the Republic of Ireland, known for its rich maritime history, vibrant cultural scene, and role as the commercial and administrative center of County Cork.
  • B. Galway
    Galway is a small rural town in Saratoga County, New York, known for its scenic countryside and close-knit community.
  • C. 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.
  • D. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • E. Dublin
    Dublin is a suburban city in California’s Tri-Valley region, known for its rapid growth, diverse community, and role as a residential and commercial hub in the East Bay.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb55cb2c8190aab8199da3335032 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d8e61d48190af0becdc5a040cd9 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:44 p.m.