Triple

T9611200
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Theatre E232103 entity
Predicate operator P179 FINISHED
Object City of Morgantown E742176 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: [Metropolitan Theatre, operator, City of Morgantown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Morgantown
Context triple: [Metropolitan Theatre, operator, City of Morgantown]
  • A. Morgantown chosen
    Morgantown is a city in northern West Virginia best known as the home of West Virginia University and its major college sports programs.
  • B. Masontown, West Virginia
    Masontown, West Virginia is a small incorporated town located in Preston County in the north-central part of the state.
  • C. 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.
  • D. Morgantown, Kentucky
    Morgantown, Kentucky is a small city that serves as the county seat of Butler County and a local hub for the surrounding rural region.
  • E. Farmington, West Virginia
    Farmington, West Virginia is a small town in Marion County known historically as a coal-mining community and the site of the 1968 Farmington Mine disaster.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a85d4c881909ccab2e972d97e68 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2e4fa938881908253aed52870210d completed April 5, 2026, 10:40 p.m.
Created at: March 30, 2026, 8:09 p.m.