Triple

T13536927
Position Surface form Disambiguated ID Type / Status
Subject Römer city hall E323284 entity
Predicate locatedOn P40 FINISHED
Object Römerberg E61696 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: Römerberg | Statement: [Römer city hall, locatedOn, Römerberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Römerberg
Context triple: [Römer city hall, locatedOn, Römerberg]
  • A. Römerberg chosen
    Römerberg is the historic central square of Frankfurt am Main, known for its medieval-style buildings, city hall (Römer), and role as a focal point for public events and tourism.
  • B. Römerberg square
    Römerberg square is the historic central square of Frankfurt’s old town, renowned for its medieval-style buildings, city hall complex (Römer), and role as a traditional site for markets and public events.
  • C. Kammerhof
    Kammerhof is a historic mining administration building and museum in Banská Štiavnica, Slovakia, showcasing the town’s rich mining heritage.
  • D. Osterburg
    Osterburg is a small town in the German state of Saxony-Anhalt, known for its historic architecture and rural surroundings.
  • E. Seelingstädt
    Seelingstädt is a village and subdivision of the town of Trebsen in the German state of Saxony.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794281fb48190882f164df1def07e completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:45 p.m.