Triple

T14210419
Position Surface form Disambiguated ID Type / Status
Subject Rathausbrücke E352212 entity
Predicate hasViewOf P854 FINISHED
Object Zürich Rathaus E349671 NE FINISHED

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: Zürich Rathaus | Statement: [Rathausbrücke, hasViewOf, Zürich Rathaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zürich Rathaus
Context triple: [Rathausbrücke, hasViewOf, Zürich Rathaus]
  • A. Stadthaus Zürich chosen
    Stadthaus Zürich is the historic city hall building in Zurich that serves as the central seat of the city’s political administration and government.
  • B. Basel Town Hall
    Basel Town Hall is a historic Renaissance-style government building in Basel, Switzerland, serving as the seat of the canton’s political authorities.
  • C. Rathaus Bern
    Rathaus Bern is the historic town hall of the city of Bern, Switzerland, serving as a central seat of local government and political administration.
  • D. Geneva City Hall
    Geneva City Hall is the historic seat of the municipal government of Geneva, Switzerland, known for hosting important political meetings and international diplomatic events.
  • E. Geneva City Hall
    Geneva City Hall is the municipal government building serving the city of Geneva in Ontario County, New York.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280e56e0819097e2aa2b28f19257 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:05 a.m.