Triple

T15346936
Position Surface form Disambiguated ID Type / Status
Subject Leipziger Straße E366945 entity
Predicate hasNameMeaning P1966 FINISHED
Object Leipzig Street E1162766 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: Leipzig Street | Statement: [Leipziger Straße, hasNameMeaning, Leipzig Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leipzig Street
Context triple: [Leipziger Straße, hasNameMeaning, Leipzig Street]
  • A. Berliner Straße
    Berliner Straße is a major Berlin U-Bahn station complex in the district of Wilmersdorf, serving as a key transfer point between multiple subway lines.
  • B. Berliner Straße
    Berliner Straße is a central street in the historic city of Görlitz, Germany, known for its traditional urban architecture and role as a key thoroughfare near the Obermarkt.
  • C. Grimmaische Straße chosen
    Grimmaische Straße is a prominent pedestrian shopping and historic street in central Leipzig, Germany.
  • D. Znamenka Street
    Znamenka Street is a historic central street in Moscow, Russia, known for its governmental buildings and proximity to major landmarks like the Kremlin.
  • E. Zorge Street
    Zorge Street is a notable thoroughfare in Moscow, Russia, recognized for lending its name to the nearby Zorge station of the Moscow Central Circle railway line.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00606823cc81908c461ef8764ebf41 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 3:17 a.m.