Triple

T18557403
Position Surface form Disambiguated ID Type / Status
Subject 16th Avenue South E453539 entity
Predicate partOf P40 FINISHED
Object Nashville street network — 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: Nashville street network | Statement: [16th Avenue South, partOf, Nashville street network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nashville street network
Context triple: [16th Avenue South, partOf, Nashville street network]
  • A. New York City street network
    The New York City street network is the extensive, largely gridded system of avenues, streets, and thoroughfares that organizes transportation and urban life across the five boroughs.
  • B. Pittsburgh street network
    The Pittsburgh street network is the complex system of roads and thoroughfares that weaves through Pittsburgh’s hilly terrain and river valleys, connecting its diverse neighborhoods and business districts.
  • C. Portland street network
    The Portland street network is the interconnected system of roads, avenues, and transit corridors that structure transportation and urban movement throughout Portland, Oregon.
  • D. Philadelphia street network
    The Philadelphia street network is the interconnected system of roads, avenues, and thoroughfares that structure transportation and urban layout across the city of Philadelphia and its surrounding areas.
  • E. Los Angeles street network
    The Los Angeles street network is the extensive, car-oriented system of roads, freeways, and neighborhood streets that structures transportation and urban form across the Los Angeles metropolitan area.
  • 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: Nashville street network
Target entity description: The Nashville street network is the interconnected system of roads and thoroughfares that structures transportation, navigation, and urban development throughout Nashville, Tennessee.
  • A. New York City street network
    The New York City street network is the extensive, largely gridded system of avenues, streets, and thoroughfares that organizes transportation and urban life across the five boroughs.
  • B. Pittsburgh street network
    The Pittsburgh street network is the complex system of roads and thoroughfares that weaves through Pittsburgh’s hilly terrain and river valleys, connecting its diverse neighborhoods and business districts.
  • C. Portland street network
    The Portland street network is the interconnected system of roads, avenues, and transit corridors that structure transportation and urban movement throughout Portland, Oregon.
  • D. Philadelphia street network
    The Philadelphia street network is the interconnected system of roads, avenues, and thoroughfares that structure transportation and urban layout across the city of Philadelphia and its surrounding areas.
  • E. Los Angeles street network
    The Los Angeles street network is the extensive, car-oriented system of roads, freeways, and neighborhood streets that structures transportation and urban form across the Los Angeles metropolitan area.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53808028c8190825630525d84a29b completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:40 a.m.