Triple

T3063256
Position Surface form Disambiguated ID Type / Status
Subject Dom/Römer station E62044 entity
Predicate serves P98 FINISHED
Object Dom-Römer quarter E323277 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: Dom-Römer quarter | Statement: [Dom/Römer station, serves, Dom-Römer quarter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dom-Römer quarter
Context triple: [Dom/Römer station, serves, Dom-Römer quarter]
  • A. Dom-Römer Quarter chosen
    The Dom-Römer Quarter is a reconstructed historic district in Frankfurt’s old town, featuring traditional-style buildings, narrow lanes, and public squares that revive the city’s prewar medieval character.
  • B. Stadtmitte
    Stadtmitte is a central Berlin U-Bahn station serving as an important interchange and access point to the city’s historic Mitte district.
  • C. Stadtmitte
    Stadtmitte is the central urban district of the town of Bad Honnef in North Rhine-Westphalia, Germany.
  • D. 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.
  • E. Old Town (Altstadt)
    Old Town (Altstadt) is Cologne’s historic city center, known for its narrow cobbled streets, traditional houses, and numerous breweries and pubs near the Rhine.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9ea088fc819090b9d5bbcb268671 completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f878e1148190934ff7ed5a52b6ad completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.