Triple

T8715151
Position Surface form Disambiguated ID Type / Status
Subject Tal (street) E206874 entity
Predicate connects P390 FINISHED
Object Marienplatz E503692 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: Marienplatz | Statement: [Tal (street), connects, Marienplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marienplatz
Context triple: [Tal (street), connects, Marienplatz]
  • A. Marienplatz chosen
    Marienplatz is the central square in Munich, Germany, renowned as the city's historic heart and a major hub for cultural events, tourism, and public life.
  • B. Luisenplatz
    Luisenplatz is the central square and main public plaza of Darmstadt, Germany, serving as a key hub for transportation, shopping, and civic life.
  • C. Mehringplatz
    Mehringplatz is a historic circular square in Berlin’s Kreuzberg district, known for its postwar modernist housing complex and role as a major southern terminus of Friedrichstraße.
  • D. Alexanderplatz
    Alexanderplatz is a major public square and transport hub in central Berlin, known for its historic role in the city’s social and political life and its surrounding modernist architecture.
  • E. Ballhausplatz
    Ballhausplatz is a historic square in central Vienna that serves as the location of the Austrian Federal Chancellery and a key center of the country’s political administration.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd807cc819090b58caf285b397a completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d065b11f3c81909c787d365b242d57 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 6:35 p.m.