Triple

T19786148
Position Surface form Disambiguated ID Type / Status
Subject Frankenberg, Hesse E475272 entity
Predicate hasTwinTown P919 FINISHED
Object Newtownabbey NE NERFINISHED

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: Newtownabbey | Statement: [Frankenberg, Hesse, hasTwinTown, Newtownabbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newtownabbey
Context triple: [Frankenberg, Hesse, hasTwinTown, Newtownabbey]
  • A. Newtownabbey chosen
    Newtownabbey is a large suburban town and former borough on the northern outskirts of Belfast in Northern Ireland.
  • 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. Antrim and Newtownabbey
    Antrim and Newtownabbey is a local government district and borough in Northern Ireland that includes urban and rural communities north of Belfast.
  • D. Lisburn
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • E. Lisburn and Castlereagh
    Lisburn and Castlereagh is a local government district and city area in Northern Ireland that includes the city of Lisburn and surrounding settlements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65387d3348190a31f9c2f9bc1c6d9 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.