Triple

T14257430
Position Surface form Disambiguated ID Type / Status
Subject Mitte E353420 entity
Predicate contains P35 FINISHED
Object Hackescher Markt E180488 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: Hackescher Markt | Statement: [Mitte, contains, Hackescher Markt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hackescher Markt
Context triple: [Mitte, contains, Hackescher Markt]
  • A. Hackescher Markt chosen
    Hackescher Markt is a lively square and transport hub in central Berlin known for its historic architecture, nightlife, and nearby courtyards filled with shops, galleries, and cafés.
  • B. Alter Markt
    Alter Markt is a historic central market square in Cologne, Germany, known for its medieval origins, traditional houses, and role as a focal point for city life and festivals.
  • C. Viktualienmarkt
    Viktualienmarkt is a famous open-air food and produce market in the historic center of Munich, known for its diverse stalls, beer garden, and traditional Bavarian atmosphere.
  • D. Rathausmarkt
    Rathausmarkt is the large central square in Hamburg that serves as the main public plaza in front of the city hall and a key venue for events, markets, and civic gatherings.
  • E. Ochsenmarkt
    Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325f213881909acf776ff4831c30 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.