Triple

T14754950
Position Surface form Disambiguated ID Type / Status
Subject 1. Bezirk E346706 entity
Predicate hasLandmark P105 FINISHED
Object Am Hof E346728 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: Am Hof | Statement: [1. Bezirk, hasLandmark, Am Hof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Am Hof
Context triple: [1. Bezirk, hasLandmark, Am Hof]
  • A. Am Hof chosen
    Am Hof is a historic square in Vienna’s Innere Stadt district, known for its medieval origins, notable architecture, and role as a former center of civic and religious life.
  • B. Haus am Horn
    Haus am Horn is a pioneering early Bauhaus model house in Weimar, Germany, designed in 1923 to showcase modernist architecture and functional living.
  • C. Wellblechpalast
    Wellblechpalast is an ice hockey arena in Berlin best known as the longtime home of the Eisbären Berlin before their move to larger, modern venues.
  • D. Königswinter
    Königswinter is a town on the right bank of the Rhine in North Rhine-Westphalia, Germany, known for the Drachenfels hill and its scenic location in the Siebengebirge range.
  • E. Das Schloss
    Das Schloss is a prominent shopping mall in Berlin known for its distinctive architecture and wide range of retail and dining options.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb9e1b8481909abea3daabe91302 completed May 8, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:30 a.m.