Triple

T880533
Position Surface form Disambiguated ID Type / Status
Subject St Anne’s Cathedral E19014 entity
Predicate city P40 FINISHED
Object Belfast E2597 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: Belfast | Statement: [St Anne’s Cathedral, city, Belfast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belfast
Context triple: [St Anne’s Cathedral, city, Belfast]
  • A. Belfast chosen
    Belfast is the capital and largest city of Northern Ireland, known for its historic shipbuilding industry, including the construction of the RMS Titanic, and its central role in the region’s political and cultural history.
  • B. Derry
    Derry is a historic walled city in the northwest of Northern Ireland, known for its cultural heritage and significance in the region's political history.
  • C. Lisburn
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • D. 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.
  • E. Dundalk
    Dundalk is a large unincorporated community and suburb of Baltimore, Maryland, known for its residential neighborhoods and industrial history along the Patapsco River.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accb653c81909fe0753f78145be9 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69acddfa1d48819081538d6505fa062c completed March 8, 2026, 2:24 a.m.
Created at: March 1, 2026, 7:39 p.m.