Triple

T20626030
Position Surface form Disambiguated ID Type / Status
Subject Europa Buscentre E506818 entity
Predicate connectsTo P845 FINISHED
Object Derry E97019 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: Derry | Statement: [Europa Buscentre, connectsTo, Derry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derry
Context triple: [Europa Buscentre, connectsTo, Derry]
  • A. Derry chosen
    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.
  • B. Londonderry
    Londonderry is a small rural locality within Western Australia’s Shire of Coolgardie, historically associated with the Eastern Goldfields region.
  • C. Londonderry
    Londonderry is a town in southern New Hampshire, United States, known for its suburban character and historic apple orchards.
  • D. Lisburn
    Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
  • E. Dundalk
    Dundalk is a major town in northeast Ireland near the border with Northern Ireland, known historically as a trading and industrial center.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe490a08190b8fe49da78ebd6cc completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd500c40819096dbde68d11c2424 completed May 16, 2026, 8:02 p.m.
Created at: April 16, 2026, 11:42 a.m.