Triple

T6203041
Position Surface form Disambiguated ID Type / Status
Subject Lagan Canal E138681 entity
Predicate passesThrough P225 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 Canal, passesThrough, Lisburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisburn
Context triple: [Lagan Canal, passesThrough, 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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626a32908190a3332008aee2e4a9 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243da922c819080d8d37adbb5635e completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:20 p.m.