Triple

T893643
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Ireland E19294 entity
Predicate capital P234 FINISHED
Object Dublin E9406 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: Dublin | Statement: [Kingdom of Ireland, capital, Dublin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dublin
Context triple: [Kingdom of Ireland, capital, Dublin]
  • A. Dublin chosen
    Dublin is the capital and largest city of Ireland, known for its rich literary heritage, historic architecture, and vibrant cultural and economic life.
  • B. 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.
  • C. Cork city
    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.
  • 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. Galway
    Galway is a small rural town in Saratoga County, New York, known for its scenic countryside and close-knit community.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad212cd8819091eb1b7d606f5afd completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4282ea908190817857231b98f5b4 completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:39 p.m.