Triple

T18329062
Position Surface form Disambiguated ID Type / Status
Subject accesso ShoWare Center E439085 entity
Predicate operator P179 FINISHED
Object City of Kent 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: City of Kent | Statement: [accesso ShoWare Center, operator, City of Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Kent
Context triple: [accesso ShoWare Center, operator, City of Kent]
  • A. City of Kent chosen
    The City of Kent is a major suburban municipality in King County, Washington, known as an industrial and logistics hub within the Seattle metropolitan area.
  • B. Kingston, Kent
    Kingston, Kent is a small historic village and civil parish in the county of Kent in South East England, situated near Canterbury.
  • C. Kent, England
    Kent, England is a historic county in southeastern England known for its coastal towns, rich agricultural land, and nickname "the Garden of England."
  • D. Margate City
    Margate City is a small coastal resort community on Absecon Island in Atlantic County, New Jersey, known for its beaches and the historic Lucy the Elephant attraction.
  • E. Cessnock City
    Cessnock City is a local government area in the Hunter Region of New South Wales, Australia, known for its wine-producing regions and rural communities.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aaceb4c81909c4a6b2790602d2e completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.