Triple

T14755934
Position Surface form Disambiguated ID Type / Status
Subject Hoher Markt E346727 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Schwedenplatz E1082656 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: Schwedenplatz | Statement: [Hoher Markt, hasNearbyLandmark, Schwedenplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwedenplatz
Context triple: [Hoher Markt, hasNearbyLandmark, Schwedenplatz]
  • A. Hansaplatz
    Hansaplatz is a Berlin U-Bahn station on the U9 line located in the Hansaviertel district of the city.
  • B. Grabbeplatz
    Grabbeplatz is a central public square in Düsseldorf, Germany, known for its prominent cultural institutions and modern art venues.
  • C. Schwedenplatz square chosen
    Schwedenplatz square is a central public square in Vienna, Austria, known for its busy urban atmosphere, nearby Danube Canal, and role as a key meeting and transit point in the city.
  • D. Marijinplatz
    Marijinplatz is the former name of Ljubljana’s central Prešeren Square, a key cultural and social gathering place in Slovenia’s capital.
  • E. Alter Platz
    Alter Platz is the historic main square in Klagenfurt, Austria, known for its traditional architecture, shops, and cafés.
  • 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_69dec7ef0fd48190bd4a8af128ef274c completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38894a2481908dd219ecaa7f3a3c completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:30 a.m.