Triple

T2770431
Position Surface form Disambiguated ID Type / Status
Subject Munster E61441 entity
Predicate largestCity P235 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: [Munster, largestCity, Cork]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cork
Context triple: [Munster, largestCity, Cork]
  • A. Cork
    Cork is a major county in the south of Ireland, known for its vibrant cultural heritage, extensive coastline, and the city of Cork, one of the country’s largest urban centers.
  • B. 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.
  • C. Galway
    Galway is a small rural town in Saratoga County, New York, known for its scenic countryside and close-knit community.
  • D. Waterford
    Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
  • E. Waterford
    Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd690b24819095647dd4a4f902bb completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d56399881909f5e54f751fe5ad0 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 9:57 p.m.