Triple

T12219266
Position Surface form Disambiguated ID Type / Status
Subject Vinton Public Library E291167 entity
Predicate operatedBy P86 FINISHED
Object City of Vinton E969561 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 Vinton | Statement: [Vinton Public Library, operatedBy, City of Vinton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Vinton
Context triple: [Vinton Public Library, operatedBy, City of Vinton]
  • A. City of Vinton chosen
    The City of Vinton is a municipal government in Iowa that administers local services and infrastructure for the community of Vinton.
  • B. Gardnersville
    Gardnersville is a suburban township and residential area located near Monrovia in Liberia.
  • C. Yatesville
    Yatesville is a small town located in the U.S. state of Georgia.
  • D. Munsieville
    Munsieville is a historically significant township in Gauteng, South Africa, known for its role in the anti-apartheid struggle and its location near Krugersdorp.
  • E. McKownville
    McKownville is a hamlet and suburban community within the town of Guilderland in Albany County, New York, known for its proximity to the city of Albany and the University at Albany campus.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c951f5881908db6edfda1153d6f completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6345e63dc81908f711dfb6d3b5a1f completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:51 p.m.