Triple

T2017906
Position Surface form Disambiguated ID Type / Status
Subject County Antrim E44037 entity
Predicate contains P35 FINISHED
Object Larne E185926 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: Larne | Statement: [County Antrim, contains, Larne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larne
Context triple: [County Antrim, contains, Larne]
  • A. Larne chosen
    Larne is a port town on the east coast of County Antrim in Northern Ireland, known for its busy ferry services linking Northern Ireland with Scotland.
  • B. Coleraine
    Coleraine is a historic town in County Londonderry, Northern Ireland, known as an early plantation settlement and a key center in the Plantation of Ulster.
  • C. Lisburn
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • D. Ballymena
    Ballymena is a town in County Antrim, Northern Ireland, known as the birthplace of actor Liam Neeson and for its historic market and surrounding rural landscapes.
  • E. Dundalk
    Dundalk is a large unincorporated community and suburb of Baltimore, Maryland, known for its residential neighborhoods and industrial history along the Patapsco River.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8ce71788190ac21beff10b08122 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58bda3fc81908bfff1707e777dc1 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:38 p.m.