Triple

T9262673
Position Surface form Disambiguated ID Type / Status
Subject Rosslare Europort E222615 entity
Predicate hasNearbyCity P350 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: [Rosslare Europort, hasNearbyCity, Wexford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wexford
Context triple: [Rosslare Europort, hasNearbyCity, 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. Kinsale
    Kinsale is a historic coastal town in southern Ireland known for its picturesque harbor, colorful streets, gourmet food scene, and role in events such as the Battle of Kinsale.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07189bc48190987315bd5d3ce4f1 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c0526c48190aae93a70cfe5562c completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:32 p.m.