Triple

T1856639
Position Surface form Disambiguated ID Type / Status
Subject Ulster E41718 entity
Predicate hasMajorCity P316 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: [Ulster, hasMajorCity, Lisburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisburn
Context triple: [Ulster, hasMajorCity, Lisburn]
  • A. Lisburn chosen
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • B. 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.
  • C. Omagh
    Omagh is a town in County Tyrone, Northern Ireland, known as the administrative centre of the county and tragically associated with a major 1998 bombing.
  • D. Newry
    Newry is a city in southeastern Northern Ireland, historically known as a market and trading center near the border with the Republic of Ireland.
  • E. Enniskillen
    Enniskillen is a town in County Fermanagh, Northern Ireland, known for its strategic location between Upper and Lower Lough Erne and its role in the region’s political and military history.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07e5ed48190a7b8858e2b355109 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba49f0c8190a6db188f201a6da6 completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:33 p.m.