Triple

T21395310
Position Surface form Disambiguated ID Type / Status
Subject Rue du Vieux-Marché-aux-Poissons E527763 entity
Predicate partOf P40 FINISHED
Object Strasbourg old town 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: Strasbourg old town street network | Statement: [Rue du Vieux-Marché-aux-Poissons, partOf, Strasbourg old town street network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strasbourg old town street network
Context triple: [Rue du Vieux-Marché-aux-Poissons, partOf, Strasbourg old town street network]
  • A. Lyon urban road network
    The Lyon urban road network is the interconnected system of streets, bridges, and thoroughfares that facilitates vehicular and pedestrian movement throughout the metropolitan area of Lyon, France.
  • B. Saint Petersburg street network
    The Saint Petersburg street network is the interconnected system of roads, avenues, and canals that structures the urban layout and transportation flows of Russia’s second-largest city.
  • C. Amsterdam inner-city road network
    The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
  • D. Cambridge city centre street network
    Cambridge city centre street network is the interconnected system of historic streets, lanes, and pedestrian routes that forms the core urban layout of central Cambridge, England.
  • E. Madrid city street network
    The Madrid city street network is the interconnected system of roads, avenues, and alleys that structures urban movement and shapes the spatial layout of Spain’s capital.
  • 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: Strasbourg old town street network
Target entity description: Strasbourg old town street network is the historic web of narrow, winding streets and squares at the heart of Strasbourg, reflecting its medieval and early modern urban layout.
  • A. Lyon urban road network
    The Lyon urban road network is the interconnected system of streets, bridges, and thoroughfares that facilitates vehicular and pedestrian movement throughout the metropolitan area of Lyon, France.
  • B. Saint Petersburg street network
    The Saint Petersburg street network is the interconnected system of roads, avenues, and canals that structures the urban layout and transportation flows of Russia’s second-largest city.
  • C. Amsterdam inner-city road network
    The Amsterdam inner-city road network is the dense system of streets and thoroughfares that organizes and channels motor, bicycle, and pedestrian traffic through the historic core of Amsterdam.
  • D. Cambridge city centre street network
    Cambridge city centre street network is the interconnected system of historic streets, lanes, and pedestrian routes that forms the core urban layout of central Cambridge, England.
  • E. Madrid city street network
    The Madrid city street network is the interconnected system of roads, avenues, and alleys that structures urban movement and shapes the spatial layout of Spain’s capital.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cd30f08190aba90afed6116a2a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:13 p.m.