Triple

T21135090
Position Surface form Disambiguated ID Type / Status
Subject City of Kingston E520795 entity
Predicate hasLandmark P105 FINISHED
Object Kingston City Hall 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: Kingston City Hall | Statement: [City of Kingston, hasLandmark, Kingston City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingston City Hall
Context triple: [City of Kingston, hasLandmark, Kingston City Hall]
  • A. Kingston City Hall chosen
    Kingston City Hall is a historic 19th-century civic building and architectural landmark that serves as the seat of municipal government in downtown Kingston, Ontario.
  • B. Kingston City Hall
    Kingston City Hall is the historic municipal government building of Kingston, New York, noted for its distinctive architecture and central civic role in the city.
  • C. Kingston Guildhall
    Kingston Guildhall is a civic building in Kingston upon Thames, England, serving as the administrative and ceremonial center of the local borough council.
  • D. Kingstown Town Hall
    Kingstown Town Hall is a historic civic building in Kingstown, Saint Vincent and the Grenadines, serving as a central venue for municipal administration and public events.
  • E. Rotunda Kingston
    Rotunda Kingston is a leisure and entertainment complex in Kingston upon Thames, featuring a cinema, restaurants, and various retail and recreational facilities.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723592fd48190ba5977a1b229d51e completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.