Triple

T23379078
Position Surface form Disambiguated ID Type / Status
Subject Llanbedr Pont Steffan E593686 entity
Predicate hasPostTown P2711 FINISHED
Object LAMPETER 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: LAMPETER | Statement: [Llanbedr Pont Steffan, hasPostTown, LAMPETER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAMPETER
Context triple: [Llanbedr Pont Steffan, hasPostTown, LAMPETER]
  • A. LAMPETER chosen
    LAMPETER is a small market and university town in Ceredigion, Wales, known for hosting one of the oldest degree-awarding institutions in the UK.
  • B. Pierpont
    Pierpont is the distinctive middle name of the influential American financier and banker J. P. Morgan.
  • C. Morganstown
    Morganstown is a village in Cardiff, Wales, situated near Radyr and forming part of the city's northern suburban area.
  • D. Phillipsburg
    Phillipsburg is a town in western New Jersey situated along the Delaware River, known historically as a transportation and industrial hub opposite Easton, Pennsylvania.
  • E. Morgantown
    Morgantown is a small unincorporated community in Berks County, Pennsylvania, known as a local crossroads and gateway between rural Amish country and the Pennsylvania Turnpike.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b5e4f0819081a5d4586796677b completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:33 p.m.