Triple

T17404089
Position Surface form Disambiguated ID Type / Status
Subject Barfüsserplatz E423167 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Theaterstrasse 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: Theaterstrasse | Statement: [Barfüsserplatz, hasNearbyStreet, Theaterstrasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theaterstrasse
Context triple: [Barfüsserplatz, hasNearbyStreet, Theaterstrasse]
  • A. Theaterstraße chosen
    Theaterstraße is a street, likely in a German-speaking city, known for its proximity to Falkeplatz and typically associated with cultural or theater-related venues.
  • B. Chausseestraße
    Chausseestraße is a major historic street in Berlin, Germany, known for its cultural landmarks and central location.
  • C. Paradestraße
    Paradestraße is a Berlin U-Bahn station on the north–south route in the Tempelhof-Schöneberg district, known for serving the U6 line.
  • D. Lothringerstraße
    Lothringerstraße is a central street in Vienna, Austria, located near major landmarks such as Karlsplatz and the Ringstrasse.
  • E. Gerichtstraße
    Gerichtstraße is a street in Berlin, Germany, located in the Wedding district and known for its mix of residential buildings, commercial spaces, and cultural venues.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b068248819088871d79f8a38f30 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:45 a.m.