Triple

T6218913
Position Surface form Disambiguated ID Type / Status
Subject Lagan Valley E139060 entity
Predicate adjacentTo P224 FINISHED
Object Lisburn E98722 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: Lisburn | Statement: [Lagan Valley, adjacentTo, Lisburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisburn
Context triple: [Lagan Valley, adjacentTo, Lisburn]
  • A. Lisburn chosen
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • B. Downpatrick
    Downpatrick is a historic town in County Down, Northern Ireland, traditionally associated with Saint Patrick and serving as an important religious and administrative center in the region.
  • C. Carrickfergus
    Carrickfergus is a historic coastal town in Northern Ireland, best known for its well-preserved medieval castle on the shores of Belfast Lough.
  • D. Lurgan
    Lurgan is a town in County Armagh, Northern Ireland, known historically for its linen industry and its proximity to Lough Neagh.
  • E. 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.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a481908190a1418d9fcfaf8137 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3dd76508190aba82a4a74c74bea completed March 27, 2026, 1:56 a.m.
Created at: March 22, 2026, 4:21 p.m.