Triple

T8714703
Position Surface form Disambiguated ID Type / Status
Subject Marktplatz E206864 entity
Predicate hasGermanName P1435 FINISHED
Object Marktplatz E206864 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: Marktplatz | Statement: [Marktplatz, hasGermanName, Marktplatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marktplatz
Context triple: [Marktplatz, hasGermanName, Marktplatz]
  • A. Marktplatz chosen
    Marktplatz was the historical central marketplace of Munich, later renamed Marienplatz, which has long served as the city’s main public square and social hub.
  • B. Markt
    Markt is the central market square of Bruges, Belgium, known for its historic guild houses, bustling cafes, and prominent Belfry tower.
  • C. Alter Markt
    Alter Markt is a historic central market square in Cologne, Germany, known for its medieval origins, traditional houses, and role as a focal point for city life and festivals.
  • D. Ochsenmarkt
    Ochsenmarkt was the historical marketplace in Berlin that later became known as Alexanderplatz, once a central hub for trade and urban life.
  • E. Hauptmarkt
    Hauptmarkt is the historic main market square in Nuremberg, Germany, known for its daily market, Christmas fair, and prominent landmarks such as the Schöner Brunnen.
  • 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_69cc5cd6707c819092c9fca34f273d5e completed March 31, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28d62af88190acf2d8692d73b9f5 completed April 3, 2026, 2:41 a.m.
Created at: March 30, 2026, 6:35 p.m.