Triple

T22960605
Position Surface form Disambiguated ID Type / Status
Subject Ronse E570884 entity
Predicate hasTownHall P796 FINISHED
Object Ronse town hall 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: Ronse town hall | Statement: [Ronse, hasTownHall, Ronse town hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronse town hall
Context triple: [Ronse, hasTownHall, Ronse town hall]
  • A. Roanne town hall
    Roanne town hall is the main administrative and civic building of the city of Roanne, housing its local government offices and official municipal functions.
  • B. Visé town hall
    Visé town hall is a historic municipal building in the Belgian town of Visé, notable for its architectural heritage and role as the seat of local government.
  • C. Getaria town hall
    Getaria town hall is the main administrative and governmental building of the coastal town of Getaria in Spain’s Basque Country.
  • D. Arona town hall
    Arona town hall is the main administrative and governmental building serving the municipality of Arona.
  • E. Herbrechtingen town hall
    Herbrechtingen town hall is the main municipal administrative building and local government seat of the town of Herbrechtingen in Germany.
  • 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: Ronse town hall
Target entity description: Ronse town hall is the historic municipal building of the Belgian city of Ronse, known for its distinctive architecture and role as the seat of local government.
  • A. Roanne town hall
    Roanne town hall is the main administrative and civic building of the city of Roanne, housing its local government offices and official municipal functions.
  • B. Visé town hall
    Visé town hall is a historic municipal building in the Belgian town of Visé, notable for its architectural heritage and role as the seat of local government.
  • C. Getaria town hall
    Getaria town hall is the main administrative and governmental building of the coastal town of Getaria in Spain’s Basque Country.
  • D. Arona town hall
    Arona town hall is the main administrative and governmental building serving the municipality of Arona.
  • E. Herbrechtingen town hall
    Herbrechtingen town hall is the main municipal administrative building and local government seat of the town of Herbrechtingen in Germany.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f494348190a24f09d3495b0950 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.