Triple

T16562325
Position Surface form Disambiguated ID Type / Status
Subject Distillery F.C. E402369 entity
Predicate locatedIn P40 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: [Distillery F.C., locatedIn, Lisburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisburn
Context triple: [Distillery F.C., locatedIn, Lisburn]
  • A. Lisburn chosen
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • B. Banbridge
    Banbridge is a town in County Down, Northern Ireland, known historically for its linen industry and its location along the River Bann.
  • C. 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.
  • D. Carrickfergus
    Carrickfergus is a historic coastal town in Northern Ireland, best known for its well-preserved medieval castle on the shores of Belfast Lough.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576eb63081908cb5dc6c0a8a13ac completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a009d2bbe9c81909031d79f93faca6a completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:15 a.m.