Triple

T19592383
Position Surface form Disambiguated ID Type / Status
Subject Straße des 17. Juni E470267 entity
Predicate hasJunctionWith P1018 FINISHED
Object Pariser Platz 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: Pariser Platz | Statement: [Straße des 17. Juni, hasJunctionWith, Pariser Platz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pariser Platz
Context triple: [Straße des 17. Juni, hasJunctionWith, Pariser Platz]
  • A. Pariser Platz chosen
    Pariser Platz is a prominent public square in central Berlin, Germany, known as the grand urban space directly in front of the Brandenburg Gate and a focal point of the city's historic and political life.
  • B. Charlottenplatz
    Charlottenplatz is a major public square and traffic junction in central Stuttgart, Germany.
  • C. Breitscheidplatz
    Breitscheidplatz is a major public square and transport hub in central Berlin, known for the Kaiser Wilhelm Memorial Church and its surrounding shopping and entertainment district.
  • D. Leipziger Platz
    Leipziger Platz is a historic square in central Berlin, Germany, known for its reconstruction after German reunification and its proximity to Potsdamer Platz.
  • E. 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.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64057460c8190962e2e58f06b3985 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:43 p.m.