Triple

T7864788
Position Surface form Disambiguated ID Type / Status
Subject Ballymena E182588 entity
Predicate hasScotsName P51218 FINISHED
Object Ballymena E182588 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: Ballymena | Statement: [Ballymena, hasScotsName, Ballymena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballymena
Context triple: [Ballymena, hasScotsName, Ballymena]
  • A. Ballymena chosen
    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.
  • B. Carrickfergus
    Carrickfergus is a historic coastal town in Northern Ireland, best known for its well-preserved medieval castle on the shores of Belfast Lough.
  • C. Lisburn
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • D. Ballycastle
    Ballycastle is a small seaside town and popular holiday resort on the north coast of Northern Ireland, known as a gateway to the Causeway Coast and nearby Rathlin Island.
  • E. Lurgan
    Lurgan is a town in County Armagh, Northern Ireland, known historically for its linen industry and its proximity to Lough Neagh.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb36c0eaa48190a0df4c37c726546e completed March 31, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf6fb33881908cf7bd68915aa6b4 completed March 31, 2026, 2:51 p.m.
Created at: March 30, 2026, 4:54 p.m.