Triple

T1338932
Position Surface form Disambiguated ID Type / Status
Subject Dublin Airport E28419 entity
Predicate serves P98 FINISHED
Object Dublin city 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 city | Statement: [Dublin Airport, serves, Dublin city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dublin city
Context triple: [Dublin Airport, serves, Dublin city]
  • A. 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.
  • B. 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.
  • 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. 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c21303c881908fef0b32831222fe completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36f900848190bb00cd7ad8eada60 completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 7:56 p.m.