Triple

T1091939
Position Surface form Disambiguated ID Type / Status
Subject Aer Lingus E24183 entity
Predicate headquartersLocation P62 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: [Aer Lingus, headquartersLocation, Dublin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dublin
Context triple: [Aer Lingus, headquartersLocation, 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. 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b982018481908b222df095e318c0 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89fd91208190ac962ec7059f716b completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:42 p.m.