Triple

T8529378
Position Surface form Disambiguated ID Type / Status
Subject Friedrichswerder, Berlin E201902 entity
Predicate locatedNear P294 FINISHED
Object Gendarmenmarkt E151220 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: Gendarmenmarkt | Statement: [Friedrichswerder, Berlin, locatedNear, Gendarmenmarkt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gendarmenmarkt
Context triple: [Friedrichswerder, Berlin, locatedNear, Gendarmenmarkt]
  • A. Gendarmenmarkt chosen
    Gendarmenmarkt is a historic and architecturally renowned square in central Berlin, famous for its ensemble of the German and French Cathedrals and the Konzerthaus.
  • B. Marienplatz
    Marienplatz is the central square in Munich, Germany, renowned as the city's historic heart and a major hub for cultural events, tourism, and public life.
  • C. Charlottenplatz
    Charlottenplatz is a major public square and traffic junction in central Stuttgart, Germany.
  • D. Heidelberger Platz
    Heidelberger Platz is a Berlin U-Bahn and S-Bahn interchange station in the Wilmersdorf district, known for its distinctive vaulted architecture and role as a transport hub on the city’s Ringbahn.
  • E. Ballhausplatz
    Ballhausplatz is a historic square in central Vienna that serves as the location of the Austrian Federal Chancellery and a key center of the country’s political administration.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe67409f08190b20d13d26e9a362c completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d5e5b58819095c1c915dfe27b52 completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:17 p.m.