Triple

T21513343
Position Surface form Disambiguated ID Type / Status
Subject U8 E530781 entity
Predicate hasStation P35 FINISHED
Object Hermannplatz NE NERFINISHED

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: Hermannplatz | Statement: [U8, hasStation, Hermannplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermannplatz
Context triple: [U8, hasStation, Hermannplatz]
  • A. Hermannplatz chosen
    Hermannplatz is a major Berlin U-Bahn station and transport hub in the Neukölln district, known for its historic architecture and busy commercial surroundings.
  • B. Lehniner Platz
    Lehniner Platz is a public square in Berlin, Germany, known as a cultural hub and transport node in the Charlottenburg district.
  • C. Moritzplatz
    Moritzplatz is an underground U-Bahn station in Berlin’s Kreuzberg district, serving as a stop on the city’s U8 line.
  • D. Schillerplatz
    Schillerplatz is a prominent public square in Stuttgart, Germany, known for its historic buildings and central role in the city’s cultural and civic life.
  • E. Mehringplatz
    Mehringplatz is a historic circular square in Berlin’s Kreuzberg district, known for its postwar modernist housing complex and role as a major southern terminus of Friedrichstraße.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea88e6fc8190a4b73b8d32dae5a8 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.