Triple

T15493910
Position Surface form Disambiguated ID Type / Status
Subject Brienner Straße E378764 entity
Predicate hasNearbySquare P7888 FINISHED
Object Karolinenplatz E1191670 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: Karolinenplatz | Statement: [Brienner Straße, hasNearbySquare, Karolinenplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karolinenplatz
Context triple: [Brienner Straße, hasNearbySquare, Karolinenplatz]
  • A. Karolinenplatz chosen
    Karolinenplatz is a prominent square in central Munich, Germany, known for its circular layout and the Obelisk monument commemorating Bavarian soldiers who died in Napoleon’s Russian campaign.
  • B. Margaretenplatz
    Margaretenplatz is a notable public square in Vienna’s Margareten district, known for its local shops, cafes, and neighborhood atmosphere.
  • C. Barfüsserplatz
    Barfüsserplatz is a central public square in Basel, Switzerland, known as a major tram hub and venue for markets and city events.
  • D. Königsplatz
    Königsplatz is a historic square in Munich, Germany, renowned for its neoclassical architecture and prominent museums forming part of the city’s cultural district.
  • E. Königsplatz
    Königsplatz is a historic square in Berlin that played a significant role in the city’s political and cultural life, especially during the 19th and early 20th centuries.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fad723481908d2aa33e8f065f2f completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7921208190bbf4e1a01c6ec5ee completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 3:49 a.m.