Triple

T15954075
Position Surface form Disambiguated ID Type / Status
Subject Morgantown, Kentucky E386888 entity
Predicate hasOfficialName P66 FINISHED
Object City of Morgantown E386888 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: City of Morgantown | Statement: [Morgantown, Kentucky, hasOfficialName, City of Morgantown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Morgantown
Context triple: [Morgantown, Kentucky, hasOfficialName, City of Morgantown]
  • A. Morganstown
    Morganstown is a village in Cardiff, Wales, situated near Radyr and forming part of the city's northern suburban area.
  • B. Morgantown
    Morgantown is a city in northern West Virginia best known as the home of West Virginia University and its major college sports programs.
  • C. Masontown, West Virginia
    Masontown, West Virginia is a small incorporated town located in Preston County in the north-central part of the state.
  • D. Morgantown metropolitan area
    The Morgantown metropolitan area is a regional urban and economic hub in north-central West Virginia centered on the city of Morgantown and its surrounding communities.
  • E. Morgantown, Kentucky chosen
    Morgantown, Kentucky is a small city that serves as the county seat of Butler County and a local hub for the surrounding rural region.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156f810148190ab4989a0e4a5f8c0 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7ab070819090232efdeecdd5fb completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.