Triple

T17551522
Position Surface form Disambiguated ID Type / Status
Subject Downtown Alton historic district E427474 entity
Predicate partOf P40 FINISHED
Object downtown Alton — NE NERFINISHED

How this triple was built (3 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: downtown Alton | Statement: [Downtown Alton historic district, partOf, downtown Alton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: downtown Alton
Context triple: [Downtown Alton historic district, partOf, downtown Alton]
  • A. downtown Frankfort
    Downtown Frankfort is the central historic and commercial core of Frankfort, Kentucky, known for its preserved architecture, government buildings, and local businesses.
  • B. Downtown West End
    Downtown West End is a primarily residential and mixed-use neighbourhood located on the western edge of Calgary’s downtown core.
  • C. Lombard Historic Downtown
    Lombard Historic Downtown is a preserved central business district in Lombard, Illinois, known for its historic architecture, local shops, and small-town streetscape.
  • D. downtown Albany
    Downtown Albany is the central business and governmental district of Albany, New York, featuring state offices, historic architecture, and a concentration of commercial and cultural institutions.
  • E. Downtown South
    Downtown South is a high-density urban neighborhood in Vancouver, British Columbia, known for its residential towers, mixed-use developments, and proximity to the city’s central business district.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: downtown Alton
Target entity description: Downtown Alton is the central commercial and historic core of Alton, Illinois, known for its preserved 19th-century architecture, riverfront setting, and local shops and restaurants.
  • A. downtown Frankfort
    Downtown Frankfort is the central historic and commercial core of Frankfort, Kentucky, known for its preserved architecture, government buildings, and local businesses.
  • B. Downtown West End
    Downtown West End is a primarily residential and mixed-use neighbourhood located on the western edge of Calgary’s downtown core.
  • C. Lombard Historic Downtown
    Lombard Historic Downtown is a preserved central business district in Lombard, Illinois, known for its historic architecture, local shops, and small-town streetscape.
  • D. downtown Albany
    Downtown Albany is the central business and governmental district of Albany, New York, featuring state offices, historic architecture, and a concentration of commercial and cultural institutions.
  • E. Downtown South
    Downtown South is a high-density urban neighborhood in Vancouver, British Columbia, known for its residential towers, mixed-use developments, and proximity to the city’s central business district.
  • F. None of above. chosen

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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454664b348190aea3ad59954b2c91 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.