Triple

T17082728
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Leinster E414513 entity
Predicate associatedWith P37 FINISHED
Object Wexford E291738 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: Wexford | Statement: [Kingdom of Leinster, associatedWith, Wexford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wexford
Context triple: [Kingdom of Leinster, associatedWith, Wexford]
  • A. Wexford chosen
    Wexford is a historic coastal town in County Wexford, Ireland, known for its medieval heritage and role in events such as the 1649 siege during the Cromwellian conquest.
  • B. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • C. Waterford
    Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
  • 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 residential suburb located within Logan City in Queensland, Australia, known for its riverside setting along the Logan River.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe408d48190b4f52c2102eae7c2 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0170e153808190b2a253f64da87737 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:35 a.m.