Triple

T8355516
Position Surface form Disambiguated ID Type / Status
Subject Norman invasion of Ireland E196671 entity
Predicate location P40 FINISHED
Object Waterford E285705 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: Waterford | Statement: [Norman invasion of Ireland, location, Waterford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterford
Context triple: [Norman invasion of Ireland, location, Waterford]
  • A. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • B. 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.
  • C. Waterford chosen
    Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
  • D. Wexford
    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.
  • E. Tuam
    Tuam is a historic market town in western Ireland known for its ecclesiastical heritage and role as a regional center in County Galway.
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb804a344c819089c0a13fe66e3088 completed March 31, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7bd74fc8190abdb2813d51d79f8 completed April 2, 2026, 3:51 a.m.
Created at: March 30, 2026, 5:59 p.m.