Triple

T6110904
Position Surface form Disambiguated ID Type / Status
Subject Alexanderplatz E136235 entity
Predicate hasNearbyStreet P8235 FINISHED
Object Karl-Marx-Allee E136236 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: Karl-Marx-Allee | Statement: [Alexanderplatz, hasNearbyStreet, Karl-Marx-Allee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl-Marx-Allee
Context triple: [Alexanderplatz, hasNearbyStreet, Karl-Marx-Allee]
  • A. Karl-Marx-Allee chosen
    Karl-Marx-Allee is a monumental socialist boulevard in Berlin, known for its grand Stalinist architecture and historic role as a showcase of East German urban planning.
  • B. Friedrichstraße
    Friedrichstraße is a major central Berlin transport hub and historic thoroughfare known for its shopping, cultural venues, and role as a former border crossing during the Cold War.
  • C. Poppelsdorfer Allee
    Poppelsdorfer Allee is a historic, tree-lined boulevard in Bonn, Germany, known for connecting the city center with Poppelsdorf Palace and its surrounding park.
  • D. Rosenbergstraße
    Rosenbergstraße is a street that lends its name to and hosts the Rosenbergstraße campus.
  • E. Eisenacher Straße
    Eisenacher Straße is a street in Berlin’s Akazienkiez neighborhood, known for its mix of residential buildings, local shops, and cafés in the Schöneberg district.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbbbea88190b889a7c30af1d71a completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e3c26a9c8190a7dfbe0895461d3b completed March 27, 2026, 1:56 a.m.
Created at: March 22, 2026, 4:13 p.m.