Triple

T17162210
Position Surface form Disambiguated ID Type / Status
Subject Gernsbach E416507 entity
Predicate hasTownHall P796 FINISHED
Object Rathaus Gernsbach E416507 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: Rathaus Gernsbach | Statement: [Gernsbach, hasTownHall, Rathaus Gernsbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rathaus Gernsbach
Context triple: [Gernsbach, hasTownHall, Rathaus Gernsbach]
  • A. Bütgenbach town hall
    Bütgenbach town hall is the main administrative building and civic center of the municipality of Bütgenbach in Belgium.
  • B. Baden town hall
    Baden town hall is the central administrative and governmental building of the municipality of Baden, serving as the main venue for local civic and political affairs.
  • C. Bremgarten town hall
    Bremgarten town hall is the historic municipal building and administrative center of the medieval town of Bremgarten in the Swiss canton of Aargau.
  • D. Gernsbach chosen
    Gernsbach is a historic town in southwestern Germany’s Black Forest region, known for its medieval old town and picturesque setting along the Murg River.
  • E. Rüthen town hall
    Rüthen town hall is the historic municipal building that serves as the administrative and representative center of the town of Rüthen in North Rhine-Westphalia, Germany.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91258648190a40396067ba5ecd3 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01483969a48190a90268c9560b8cd7 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.